@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck #30DayMapChallenge nr 11 (elevation): The Terrils of Flanders (that's how we call spoil tips or slag heaps here) Very pleased with these ones
By Maarten Lambrechts (@maartenzam)
Environment! Finnish _Environment_ Institute is in Viikki and here's a motion-blurry glimpse of its _environnement_. Data: @Helsinki3D / @helsinki #30DayMapChallenge #blender #b3d #viikki #syke #opensource #opendata
By Faris Alsuhail (@AlsuhailFaris) in Finland
Day 8 of #30DayMapChallenge – Green: Auckland Vegetation from LiDAR
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge 14. Boundaries PDO/AOC and PGI/IGP are two official quality marks, dedicated to products whose reputation for quality is linked to a bounded geographical origin. Here are these boundaries, for the French ones. Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 17 - Zones. Fellow traveler, you've no idea how oddly frustrating but satisfying but still frustrating it was to georeference and reproduce Burgess' famous 1925 zonal Chicago map. The labelling takes so long that you REALLY get time to question the logic 😩
By Maedhbh Nic Lochlainn (@niclochg)
My Day 10 effort for #30DayMapChallenge (black & white) a map explorer/gallery. Click to change cities. https://t.co/kmEiO6UKd3
By Alastair Otter (@alastairotter) in South Africa
#30DayMapChallenge Day 2 Lines (I'm behind already). This is the topography of the Driftless, Kickapoo River Valley, WI. Might be more exciting if I figured out how to exaggerate y-values. Thanks to @imhere_asia for the instructions.
By Innisfree (@Innisfree)
#30DayMapChallenge Day 2 : Lines - Pistes et voies cyclables de Lille #RStats #Lille #OpenData https://t.co/GDCUG5ULr7
By Cécile Rodrigues (@Grisoudre) in France
Day 2: lines #30DayMapChallenge
By Keith Jenkins (@kgjenkins) in USA
#30DayMapChallenge Corrientes y cuerpos de agua en #Tabasco #México
By marko gutierrez (@GutierrezyMarco)
Forgot to post this on Saturday: #30DayMapChallenge Day 16: Places - Roads with 'Place' in the name within South Yorkshire #osopen #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
Volcán activo el #ceboruco en #nayarit y rio Santiago #30DayMapChallenge Elevation
By Carlos Cortés (@jccpmx)
Day 3 of #30DayMapChallenge Polygons! In honor of Election Day tomorrow, Esri’s 2019 party affiliation layer showing areas where people vote (dark blue) and where they don’t (light green) in Philly. Go vote!
By Jessica Hammond (@jh550)
#30DayMapChallenge 21: vide. Reiz sabojāta vide dažreiz tiek arī salabota. 40 gadus pēc nosusināšanas Sārnates ezers atguva ūdeni un glītu, zīmīgi ģeometrisku formu.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge Day 24: Statistics Annual Probabilities of Tornadoes in SE USA. Based on historical data, not a prediction model! #GIS #Geography #Geographyteacher #Cartography #maps #map #weather #tornadoes #tornado #tornadoalley #environment #climate
By MyPhysicalWorld (@my_physical) in USA
Day thirteen of the #30DayMapChallenge (boundaries)... Animating every #MLB field fence height, highlighting where home runs go out the most.
By Daren Willman (@darenw)
The City of Cherkasy. Perspective view without relief. #30DayMapChallenge Day 30: Home Data: OpenStreetMap contributors QGIS, Blender, Inkscape
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
Day 28 Funny: Cómo ir de Repende a Kagar. #30DayMapChallenge Two small towns 90 km away from Berlin make the funniest sentence in Spanish, if you want to one after the other. This translates: "How to suddenly crap" and my favourite "Wie geht man plötzlich kacken" #lovegermany
By Paola Barajas Barbos (@Paola_barbarbo)
Jumping in late to #30DayMapChallenge 🗺️ Day 5: raster - with a butcher's job from the airport on 250 year maps of #Budapest and Klausenburg (#ClujNapoca/#Kolozsvár). 🤪Can only get better in the rest of the month. BTW credit for the historical map is #Mapire by #Arcanum #Hungary
By Dénes Csala (@csaladenes)
For day 12 of #30DayMapChallenge, the theme is movement. Here's an updated map of dollar store density from 2008-2019 at county level using SNAP authorized retailers (>95% of locations).
By Jerry Shannon (@jerry_shannon) in USA
#30DayMapChallenge Day 1⃣7⃣ Zones: Seismic risk zones of Italian municipalities: a map that is unfortunately well-known in Italy 😔 Data from the Italian National Geoportal: https://t.co/nSSXNeKFDc Map design: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
Day 2 lines - Transports lines using OSM data #OpenStreetMap #30DayMapChallenge Made with #QGIS atlas, #gdal for some preprocessing and ImageMagick for animation My repo for the challenge https://t.co/kKNOQkED1p FYI
By Thomas gratier (@ThomasG77)
Así de verde el cerro de la silla en #Monterrey #NuevoLeon #México y sus alrededores. #Sentinel2 con eliminación atmosférica. #30DayMapChallenge Green
By Carlos Cortés (@jccpmx)
Day 18 of the #30DayMapChallenge is a view of global temperatures under #RCP 4.5, whereby emissions peak at 2040 and decline thereafter.
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge - Day 9 - Yellow doesn't seem a popular colour for single-hue maps, but using it here to map global banana trade market in #QGIS, using UN 2018 Preliminary Banana Market Review data 🍌EU countries apparently mad for them, with ~33% of all global banana imports
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge 28. Funny: Icy Estonian counties - the last few days Estonia has been literally covered by ice, so I made a little cartographic representation of the feels 😆❄️🌨️
By Evelyn Uuemaa (@evelynuuemaa / Evelyn) in Estonia
Day 3 of the #30DayMapChallenge: Polygons…ZipCode polygons for US Census data of what percentage of renters live in the SF Bay area. #IMNOS
By Patrick Nelson (@pnelson917) in USA
Here's a bit of the Blue Ridge Mountains quickly rendered with #GDAL for "Blue" day of the #30DayMapChallenge. Source is SRTM90 grabbed from https://t.co/aZMBtWJXfz
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge "points" entry Keeping it very simple with dams around the world.
By Alyne Spencer Gonçalves (@alyne_daluz)
@tjukanov #30DayMapChallenge day 7: Red Only red (or pink) metro lines in various cities. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge | Day 7: Red Cities in Europe above 1 million inhabitants (or daytime dwellers).
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
#30DayMapChallenge Day 3 theme - polygon! Here is kind of a useless map I made. The map reimagines the municipal boundaries of #Alberta Province of #Canada. The #thiessen polygons were created from the population centres. #cartography
By Fahim Hossain (@fahimgeoarts)
Heckuva wk, but squeaked out tdy's "Urban" #30DayMapChallenge showing New England urban areas + how these urban areas (in general) contribute to 💡 pollution via NASA Earth Obs 'Black Marble' (need to shrink a cpl files before sync to git repos). #rstats {sf} {raster} {ggplot2}
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge and today is Rural. Not sure this attempt fully worked, but my first go at 'hand-drawn' style and using geometry generator in #qgis to try proportional bucket fills on a hexagon-cartogram....
By Sam J (@samwise_v) in United Kingdom
#30DayMapChallenge 6. Blue Today i checked data from https://t.co/DAAtryoQVf There are few countries that have detailed GIS data. Wind power density 🍃🌪️in Rwanda 🇷🇼and Madagascar🇲🇬 #dataviz #data #maps #ggplot #rstats #renewable #GIS #Rwanda #Madagascar #wind #SDG7 #Africa
By Olga Kononykhina (@bettermeasured)
For #30DayMapChallenge No2. Lines Had a little look at Open Street Map road network data for London Decided to simply animate through the various network types using Pages feature of @tableau
By Dan Cookson (@danc00ks0n)
#30DayMapChallenge Day 3 - Polygon - different building types of Vancouver using Open Street Map data #rstats (code here: https://t.co/jstZa0iX4K) (but not many are labeled "unknown"
By Chisato (@chisatini)
One of my longest passenger train journey experience from Bangalore to Karaikal w/ @IRCTCofficial for #30DayMapChallenge - working on this map reminded me of the umpteen scenic fields en route 🌳🐄🥥🌻
By Ramya Ragupathy (@ramya_ragupathy) in India
#30DayMapChallenge Day 4: Hexagons - Citrix Cycle Ride vertices aggregated to 5 acre hexagons. h/t @tomchadwin, @ricckli et al. for qgis2web https://t.co/Ak17mR2kjF
By maptastik (@maptastik)
#30DayMapChallenge Day 8 - Green This is protected public lands in #Delaware. Lots of wildlife areas along the bay. All data from @FirstMap; downloaded shapefile, then added a Map Server basemap, of course I blended the two (I ♥️ Multiply) Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo) in USA
#30DayMapChallenge Day 6: Blue - The Hawaiian Islands Building off some earlier DEM hacking I did last year in @ArcGISPro
By Christopher Pollard (@CRVanPollard) in USA
#30DayMapChallenge Day 16. Places. My place. Center of Universe. Data form NLS-FI, buildings, centroid, classified by its use. I think I'm going to frame this.
By Sanna Jokela (@SannaJokela1)
#30daymapchallenge Green. The number of frog and toad species by state. Because, Kermit!
By Barbara Kent (@SDGeoGirl)
Highlighting data quality issues with #OpenStreetMap #OSM data for today’s #30DayMapChallenge - while an invaluable source, data completeness needs to be looked at in areas such as #Vejle in Denmark
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 16: Places Thought I would have another go at my place names map from points, I could easily spend a week tweaking it to be honest :)
By Pete King (@Generally_Geo)
@tjukanov @vega_vis Day 3: Polygons Inspired by Byrne's visual treatment of Euclid's Elements, the buildings and squares of Bloomsbury. Tavistock Sq, Bloomsbury Sq, Bedford Sq, Russell Sq, and the UK's largest: Linconln's Inn Fields. Workings & data: https://t.co/d1hNilTUzX #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 14: robežas. Pavasarī, kūlas dedzināšanas karstumā, Latvijas/Krievijas robežu var redzēt ne tikai pēc atšķirībām lauku lielumā, bet arī dedzināšanas intensitātē. (lielie, brūnie laukumi ir nodeguši).
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
Still a day behind… day 3 of the #30DayMapChallenge – Polygons: West coast salmon habitats
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 28: Funny Figured I'd tackle the age old question of "Why did the 🐔 cross the road" but look at the *where* of the question instead! (Done by taking the # of Rds / the count of chickens per census unit) Made in: QGIS Source: Statistics Canada 1/2
By Sami Kurani (@SamiKurani)
#30DayMapChallenge day 3: polygons. This time something very useful.😉 Find your nearest bell tower with this voronoi diagram. Data once again from @Maanmittaus open services.
By Teemu Saloriutta (@TeemuSaloriutta) in Finland
Day 8: Green Started this by trying to mimic @John_M_Nelson ‘s Appalachian Trail map to replace an old West Coast Trail poster that I inherited with my office. I officially love monochrome. #30DayMapChallenge #WomenInGeospatial #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
Since 2014 African swine fever (ASF) has spread within wild boar population in Latvia. The map shows animal density and ASF cases. Data source: Food and Veterinary Service of Latvia #30DayMapChallenge
By LVM GEO (@lvmgeo)
1 week of flying for a single airplane: @Ryanair EI-DYP Boeing 737-800 #30DayMapChallenge #Day2 Lines Pretty impressive logistical challenge to plan the airline routes Data from @flightaware
By Heikki Vesanto (@HeikkiVesanto) in Ireland
Día 5 Raster: Indice de Accesibilidad, utilizando PCA con las distancias de todas las manzanas del estado de Cuautla, Mor, Mex. y sitios de accesibilidad. 'Es curioso, es como si la "accesibilidad" siguiera a las carreteras.' #30DayMapChallenge #rstatsES #rstats #ggplot2 #OSM
By Enrique Santibáñez Cortés (@EnriqeSc)
#30DayMapChallenge Dia 23. Población (Population). Lugares donde se concentra la población en el estado de Campeche. ¿Por qué Campeche? Porque fue el único mapa que pude hacer sin que mi computadora se quedara trabada (+100MB). #RStats con datos de https://t.co/HhWzFU3uoB
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge - Day 6 Blue Create a map of Pontianak City using @openstreetmap data and @qgis
By Adityo Dwijananto (@adisadit)
Let's ignore all physical and cultural geography and just draw lines where the population is. #30DayMapChallenge Day 14: Boundaries.
By Ariel Kadouri (@akadouri)
#30DayMapChallenge 6. Blue - LEGO Caribbean 🌊
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge day 15: Names #rstats #ggplot2 #sf #rnaturalearth #ASIA
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Lines. Mapping the 4 year journey of an American whaling ship in the 19th century.
By Peter Atwood (@Peterincan)
#30DayMapChallenge day 1. Points. Takes me back to my days as a geophysicist. Made with #qgis
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Día 1. Puntos. En este mapa se muestran los puntos de encharcamientos reportados ante protección Civil ocurridos en la porción Norte de la CDMX. #RStats con datos del Atlas de Riesgos de la CDMX de la @SGIRPC_CDMX
By Juvenal (@JuvenalCamposF)
Day 28 (funny): Today's map was mostly made by a next generation map maker, so I'm cheating a bit. In any case, we had a lot of fun! #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge. Day 4-th Hexagons World Flood Risk Potential
By Denis Krivoguz (@pony_mapper)
Kvanto de aliĝintoj al UK-oj (ekde 1980) #Esperanto #30DayMapChallenge Tago 23 : Population
By Reĝa Ardeo (@RegxaArdeo)
#30daymapchallenge Trying for a more @nytgraphics look for today as I look at the Sultanate of #Oman, which also was a trendsetter nation in embracing GIS data. Check out their online portal here: https://t.co/YLC2tz9gtk
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 5 - blue (pre-emptive of tmrw because i won't have time) London in Blue - 5km from the geographic centre of London. Processing done in #qgis with building shapefile from @undertheraedar , visualised in @tableau check it https://t.co/ycOk4TTfIs
By A. D. Mac (@AdiBop_) in United Kingdom
#30DayMapChallenge Day 7/8. Red/Green Most color blind people have red/green color blindness. Take that into account and avoid things such as the color ramp used in the map below. Also, don't use a divergent color ramp when your data is not divergent.
By Víctor Olaya (@volayaf)
It's the 4th of November which means the day of Hexagons in the #30DayMapChallenge! We just uploaded this map to Location Insights Explorer, showing the location of animal rescue incidents attended by the London Fire Brigade. It's pink! Have a look: https://t.co/4i9xVxLZyk
By Emu Analytics (@emu_info)
Day 3 of #30DayMapChallenge - Polygons Forests in Hungary Data from @openstreetmap viz with #Tableau
By Kovács Ivett (@IvettAlexa)
#30DayMapChallenge 🗺️ Day 8: green 💚 Global vegetation greenness map 🌲🌴 Data source: MODIS NDVI Tools: #rstats #rspatial #ggplot2 📈 #map #vegetation #NDVI #MODIS #dataviz
By Mirza Cengic (@mirzacengic)
#30DayMapChallenge Day 15: Names Voronoi polygons around #London tube stations filled with the name of their nearest (in a direct line) station.
By Martin 🚡 (@MartinBangratz)
Day 5 of #30DayMapChallenge - Raster Playing with @mapbox
By Kovács Ivett (@IvettAlexa)
Day 4 of the #30DayMapChallenge : Hexagons…Impacts of flooding on traffic from Hurricane Harvey in 2017 #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge 3 - Polygons "Amazon River Basin" viewed as a polygon @Mapbox @tableaupublic viz: https://t.co/L4UU1qx4s4
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge 17. Zones: Icochrones - how far can you travel by car in 2h from Tallinn city center
By Evelyn Uuemaa (@evelynuuemaa / Evelyn) in Estonia
#30DayMapChallenge I was away and I need to catch up! Day 8: Green. Greenland!
By Zlata Popelnuh (@popelnuhh)
@fitnr @openstreetmap @NASA_Landsat Welp, missed a few days between ambition and illness. Will get those done at some point, but in the meantime a softball, vaguely inspired by the Beatles. #30DayMapChallenge – Green
By Dylan HoHoHoriarty (@DylanMoriarty)
Day 7: I’m sorry but today is the #EuroRadonDay2019 so I’ve uploaded the 1st Pan-European Indoor Radon Map, just accepted in @EGU_NHESS (https://t.co/fXq1Txi88S) 😁😁 #30DayMapChallenge #openaccess #radon
By Javier Elío (@Elio_Javi)
Day 5 #30DayMapChallenge Rasters! Oregon LiDAR, Hillshade and Tree Canopy. https://t.co/mSt5TKZmYE
By Rafa Gutierrez (@geografa)
Day 14: Boundaries We tend to think of roads as enablers of movement, but all too often they act as barriers, creating boundaries between people. Exploring cartography of islands created by major road boundaries. Workings & data: https://t.co/q9ciEoYPxh #30DayMapChallenge
By Jo Wood (@jwoLondon)
Anemia prevalence in Guatemala #30DayMapChallenge, Day 11 - Kriging interpolation. Tools: R (sp, gstat, leaflet) Data: Guatemala DHS
By Esteban Correa (@maurosc3ner)
My attempt to the #30DayMapChallenge visualization. It shows the density of airports around the world.
By Philippe Massicotte (@philmassicotte)
In honor of my return to Texas for Thanksgiving, I made a map of the Edwards Aquifer for Day 26 of the #30DayMapChallenge. Mixed feelings about how it turned out, but I can't be bothered to fix it on Thanksgiving eve. S/O to @John_M_Nelson for the corner map inspo.
By Mackenzie O’Brien (@mackenzieob210)
Líneas de curvas de nivel cada 100 metros. #30DayMapChallenge Lines
By Carlos Cortés (@jccpmx)
#30DayMapChallenge jour 5 - Raster Données @sentinel_hub Vue d'une partie de la Charente-Maritime (Oléron, Marennes, Rochefort notamment) @oleronmarennes Outil : @qgis et plug-in SCP
By Aurelien Chaumet (@AurelienChaumet) in France
#30DayMapChallenge 10. Black and White: drainage (white) in Estonia
By Evelyn Uuemaa (@evelynuuemaa / Evelyn) in Estonia
#30DayMapChallenge Black and White What I *think* is Southside, Virginia
By brady (@geo_brady)
#30DayMapChallenge 4. Hexagons Short on time, so it's a lazy one: Archaeological sites in China during the Neolithic Data source: https://t.co/nIW66s5coH
By Joseph Lewis (@josephlewis1992)
#30DayMapChallenge Day 10: Black and White - #Newcastle buildings centered on #StJamesPark #osopen #opensource #football #NUFC #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
#30DayMapChallenge 5/30 Raster. Get analogue! Download and print this Adult Color Map Puzzle then grab your color pencils and relax! (Level: Medium/hard) Size: A3 >> https://t.co/6332vr1FMS Made by: @BNiene - Made with: Qgis
By cartiqo (@cartiqomaps)
Day 11 of #30DayMapChallenge (elevation): Elevation (palette at least)
By Anto Aasa (@antoaasa)
#30DayMapChallenge - Day 7: Red // Building hights of Vienna. Data: @ogdwien @datagvat
By Valentin Schalk (@SchalkValentin)
Department stores in Mexico. #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 22. Built Environment🏭 Full version of the OpenStreetMap for my hometown #Lipetsk 🇷🇺looks terribly incomplete, so here we go with a crude version: People vs factories. data: #maps #rstats #ggplot #russia #nlmk #sdg11 #city #steel #OSM
By Olga Kononykhina (@bettermeasured)
Day 10 of #30DayMapChallenge – Black and White. Here’s a map of sesame seed production (sesame comes in black/white varieties etc….). Bare bones, looks kind of like a Chinese brush painting??
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 5 : Raster - Lille en 1969 et zoom sur l'Université de Lille - FSJPS de Moulins #Lille #QGIS
By Cécile Rodrigues (@Grisoudre) in France
Day 4 of #30DayMapChallenge: hexagons. Bus stop density in Auckland, #NewZealand. Data from @openstreetmap Code: https://t.co/0ZD1T2uyb5
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 12: Movement an ode to @dinopoloclub a wellington game studio full of incredibly nice people and their fun metro style game. The lines are base don wellington train lines. Made with open source. The game itself has lots of movement...
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 26: Hydrology. Watershed of the river Vantaa, plus #Helsinki region waterways until Gulf of Finland. Code: https://t.co/boVfpTYLUt Data via @SYKEint VALUE @HRInfoshare #rstats #sf
By Tuija Sonkkila (@ttso) in Finland
Day 10 of the #30DayMapChallenge and I made a comparison map between a 1846 black and white map of Leeds and a 2019 colour map of Leeds. No university and no Hyde Park. A much smaller city with a lot more fields and open spaces than today!
By The Spatial Data Manipulator (@GIS_Manipulator)
For #30DayMapChallenge Zones, I couldn't resist a bad #map of the Zone Improvement Plan (ZIP) Codes, IMHO the worst way to show data. This is ZIPs in southeast PA with municipal & county boundaries & all ZIPs intersecting. Thx to @CARTO for the great article about them..
By Philip Pierdomenico (@PhilPierdo) in USA
#30DayMapChallenge 1. Points - Main cargo ports by gross weight of freight handled, 2017 - info at https://t.co/XzSlDjiVF6, data at https://t.co/hV5o1QBmTM - joined contributions by several colleagues from our @EU_Eurostat E4 Team - looking forward for the next 30 days - GISCO
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
@tjukanov #30DayMapChallenge Day 20-Rural #india State & UT wise rural population 2011 Census @DataPortalIndia #kml @googleearth using #fme @SafeSoftware icon size relative to rural #population
By SRG (@Saint_GIS)
#30DayMapChallenge 3. Polygons Quick Voronoi tessellation of Defended Small Towns in Roman Britain Data source: https://t.co/keS09p4YfU
By Joseph Lewis (@josephlewis1992)
#30DayMapChallenge 9. Yellow A warning Slime mold is very cool and researchers have used it to study geographic networks. It is critical that investigators observe strict protocols to keep their charges from wandering about, misusing what they’ve been taught.
By John O'Leary (@OLjohnel)
#30DayMapChallenge I decided to try out 3D mapping, and what better country to showcase 3D than the rugged #Lesotho. I've sent a draft to the amazing Lesothan mapper @Tshedy4 so dont be surprised if I post a (heavily) revised version sometime later.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 1⃣5⃣ Names: Municipalities of Lombardy Region, Northern Italy 🇮🇹 The size of labels (showing the names of municipalities) depends on the population, classified into 6 classes based on quantiles. Sources: https://t.co/PtYY0OY6Uu & https://t.co/olKnZr6tVu
By Marco Minghini (@MarcoMinghini) in Italy
Day 03 - Polygons - Buildings by type in three cities. A pity so many are classified as just 'building' . MAde in #rstats code: https://t.co/QFnf9SVaNM #30DayMapChallenge
By Adam Gruer (@AdamGruer)
Day 9 yellow #30dayMapChallenge Follow the sun ☀️ Involved maths 😬 and not at all sure it's correct, but fun to try & work out & then figure out how to plot it in QGIS.
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 3. Polygons ➡ Rethink the contours of the french regions based on the distance from the municipalities to the regional capitals #Polygonsvoronoi #MadewithQGIS
By Boris Mericskay (@BorisMericskay)
I've been travelling unexpectedly all day today. But I still had 5 minutes to scrawl out a map for today's challenge #30DayMapChallenge Congrats #Finland #euro2020 !
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 24 - Statistics Mapping Romania's Presidential Elections results: Round 2. Tools: QGIS and D3 Data: Geoportal ANCPI, BEC https://t.co/H04YLlg1tf #maps #elections #harta #alegeri #prezidentiale
By MapTheClouds (@maptheclouds)
My contribution to the #30DayMapChallenge which may be one of my only ones based on how my month is looking...but it was fun. Theme inspired by @hrbrmstr and #rstats albersusa package. Spurious correlations invited. :) Code will be up shortly.
By Ryan Peek (@riverpeek)
#30DayMapChallenge Day 30: Home - 🏡 #opensource #imagery #stamen #scotland #stirling #gischat #geography #cartography #makemapsart
By Kirsten Reilly (@_penguin_runner) in United Kingdom
#30DayMapChallenge Day 16 - Places. Not much time today so just a re-post of previous project, but this is all the gig places and bands that I have been to see over the years https://t.co/uNCu7U4GEq
By Sam J (@samwise_v) in United Kingdom
#30DayMapChallenge Day 10 is black and white so I went old school. Here is a map of modern Goring by Sea and the 1896 OS 6" to the mile one I used as inspiration. made with #qgis of course!
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge #Map_01 #Points Millora de sòls per la plantació d’arbrat viari. @bcn_ajuntament @BCN_Ecologia @argalleitor 156603 Points Tree BCN. 🌲🌲🌲 Els arbres ens dibuixen l'eixample.
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge Hexagons elevations in Saudi Arabia Tools:QGIS Data:KSA boundaries from GADM & DEM data from SRTM
By Ahmad Fallatah (@am_fallatah)
Day 14: Boundaries Apologies if I have made any offensive errors in this map. I chose an area of confusing boundaries and wound up more confused than expected. Will definitely need to revisit this down the road. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
Day 2 // #30DayMapChallenge Lines. Sort of. Query POIs along a line. https://t.co/9PGzlAqFgF
By Rafa Gutierrez (@geografa)
#30DayMapChallenge Day 29: Experimental An old project designed in @eligeeducar 💚 An urban environmental index for schools in Santiago / Un índice de entorno urbano para colegios Data from EE, @Mineduc @agenciaeduca (...)
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge day 8: A map on #woodland in #Edegem. // #green
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge: Day 21 environment. Average temperature for 2050 in Colombia. The source of data is https://t.co/4GvrAT8hvb #rstats #ggplot
By Gustavo Ahumada (@Gustav_Ahumada)
#30DayMapChallenge Day 3 - polygons. Mapping By Hotel Making polygons of the UK's outline by: 1) Taking the geolocations of all hotels (from Food Safety Ratings). 2) Declustering them (to get mainland / islands). 3) Drawing a concave hull around each cluster.
By Mike Raistrick (@m_raistr)
#30DayMapChallenge, late in the Day 22. Built environment. Comparing #OSM building data map coverage in Dublin and Cork. Both are at same scale but Cork coverage is much patchier 🧐 The People's Republic could probably do with more Open Street Mappers, like...
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 30: Home 🏠 This last one is a bit weird! Animated #dataviz of origin-destination commuter flows (census data) into Manchester (closest to home) routed via OSM and made into arcs! 😁 What a fun month! #maps #3d #animation https://t.co/QJAOpxFzKq
By Craig Taylor (@CraigTaylorGIS)
Day 30 (!!!!!) of #30DayMapChallenge – Home. Took stock of all the peppers and chilies I have at home and their origins. Had high hopes for this one but idk. Now back to my regular sleep schedule!!
By ಠ_ಠ (@DeniseDSLu)
#30daymapchallenge day #12 (Movement).
By Philippe Massicotte (@philmassicotte)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 20/30. Rural. Where are AOP cheese cities in France? 🇫🇷🧀 Cows🐄, goats🐐 and sheeps🐏 require rural areas to be bred. 🌐Globe animation with {tmap} and {magick}, a little better than the one above 🔝(15/30)... #rstatsFR
By Sébastien Rochette (@StatnMap)
Guess the Irish town. #30DayMapChallenge Day 22: built environment. Does anyone know how to use #ggplot2 osm_line2poly to colour in the sea?
By Sláinte Claus (@iamreddave)
A quick extract from a University assignment for map 6 (blue) of #30DayMapChallenge showing Arctic Sea Ice Thickness. Data from: https://t.co/pxRYDUbhYf Last 28 days CryoSat thickness measurements. Basemap: https://t.co/M4lnHI9Rwq North polar view WMS
By Ewan McLaughlin (@EwanMcLaughlin6)
Hoy parecido a ayer para el #30DayMapChallenge de 'places' ubicando nombres geográficos sobre el mapa, evitando el solapamiento, ordenados de más corto a más largo, y al revés. En #GranCanaria y #Tenerife. Fuente: mapa y nomenclátor geográfico del @IGNSpain.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 19. Urban We remixed today's theme 'urban' a little bit and made a special rap map! How many active urban-acts (read: rappers) are representing different cities in The Netherlands? Interactive version 👉🏻https://t.co/4D2Rj7mWut
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge -3.-Boundaries of Statistical Regions in the EU(NUTS), EFTA and Candidate countries, info at: https://t.co/pLCPyhHloa (incl video), visualisations: https://t.co/oyTOLnd48O, data: https://t.co/9rxbf8LL79 - joined contrib @EU_Eurostat E4 Team 28 days2go - Regio
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
#30DayMapChallenge Day 5: raster Average O3 [ppm] in São Paulo with WRF Chem and VEIN between 12:00 and 18:00 LT #rstats #atmoschem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Fault Lines through LA 7. Red #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
Day 21 (environment): These maps show the habitat and flow patterns of 4 pristine lowland streams in central Poland. The data were obtained in a field campaign in 2011. We also took macroinvertebrate samples and mapped terrestrial vegetation #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Día 22. Edificación. Aquí se puede ver cómo se ha edificado en la zona bajío de los años 1996 al 2019.
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Llegando tarde al #30DayMapChallenge aquí el mapa da puntos @YaNiPaper @tacosdedatos @Srta_peperina
By Anamhoo (@Anamhoo) in Mexico
#30DayMapChallenge Day 2 - Lines Train stations (in blue) in the Netherlands where you can travel to with an intercity train. Data and unedited map from https://t.co/xPAF4U5jYt
By lhubrechsen (@lhubrechsen)
Dag 11 er høyde, og dette superenkle kartet viser landskapet rundt Boknafjorden kun ved bruk av høydekoter fra N50 #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge Dia 12. Elevación ⛰. La "Sabana de Bogotá", un altiplano en el centro de #Colombia entre los 2.400 y 3.000 m.s.n.m.m. Usando el proceso de "iluminación de contornos" Tanaka. https://t.co/RJEHvaSvwE Con datos ASTER-#DEM
By Oscar Javier Espejo (@ojespejo)
For today's #30DayMapChallenge I'm doubling down on my land cover #maps from a few days ago. This is #Vermont which has a lot of elevation and very few people, one of the most beautiful places I've ever visited. Data from @USGS @USGSTNM made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo) in USA
#30DayMapChallenge Day 13: Tracks 🐾 Finally some maps focussing on #animal #movement 🥳 -#birdmigration data of white #storks from Rotics et al. (2018) published in @AnimalEcology and available via @MovebankTeam 🛰️🌍 Paper 📑 https://t.co/gmemmNnYv2
By Cédric Scherer (@CedScherer) in Germany
Day 26 of the #30DayMapChallenge and I created a LiDAR-derived relative elevation model (REM). LiDAR data can be extremely useful to visualise river features such as historic river channels and floodplains! More information about REMs can be found here: https://t.co/X7amX7Wycd
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge Day 28: Funny 🐕 🦺🌽 Lost in Maize! This isn't new but looking back was pretty funny (not at the time!) Here is a quick visualisation of what happened when my dog Bryn got lost in a maize field. 🟠=🐶 🔵=🚶 ♂️ 🟢=distance #maps #3d #animation #dogsoftwitter
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge 1. Points - Bus stops distribution and concentration in the Island of Sardinia cc @OpendataCorsica @openras @Sard_opendata
By Andria Tzedda (@Andria_Tzedda)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 19. Urban #30DayMapChallenge Big cities of central Mexico. #cities #mexico #qgis #maporn
By D. (@daniel_isita)
Day 5 of the #30DayMapChallenge Raster: Fishing activity in the strhttp://ibrm.aquacross.eu/it of Gibraltar #Globalfishingwatch #storytelling https://t.co/HuT7Q2Sl8Q
By Juan Arevalo (@arevaju)
A very quick look at HSL City Bike travel data. Only travels from a station to another station present (also, some stations were missing?), routes with less than 100 travels not on the map. Data: @HSL_HRT @HSLdevcom #avoindata #opendata #pyöräily #helsinki #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris) in Finland
#30DayMapChallenge Día 3: Polígonos Tiempos de evacuación en caso de tsunami en Horcón, región de Valparaíso, Chile. 🌊 Rojo sectores q demoran + de 10 min en evacuar. 🌊 Velocidad 1.79 m/s. Herramienta utilizada PEAT de @USGS Línea verde corresponde al límite área segura.
By Pato Osorio (@posorioc)
#30DayMapChallenge 2. Lines made with #QGIS
By Pete King (@Generally_Geo)
#30DayMapChallenge Dia 8. Verde (Green). Dedicado a mi alma mater, en este mapa se muestra la cantidad de Alumnos de la @uach_chapingo por entidad federativa. A pesar de tener presencia nacional, la mayoría de los alumnos provienen de #Oaxaca y el #Edomex.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 11 - Elevation Highly inspired by the amazing map of the moon by @OrdnanceSurvey. I was looking forward to doing this map since the beginning of the challenge. First time doing hillshades directly in QGis.
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Day 26 – hydrology Finland’s river network and catchment areas (level 3); transboundary catchments not included. Data: @SYKEinfo, @pinnanalta #MadewithQGIS, #avoindata, #QGIS
By Thomas Banafa (@ThomasBanafa)
#30DayMapChallenge - day 11 - #elevation 3D printed lidar, prepared with #QGIS
By Surface Libre (@surfacelibre)
Keeping it simple for day 10 of the #30DayMapChallenge - a black and white map of major roads in #France
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 20: Rural. In 2016, there were seven farms inside the City of Helsinki that received subsidies from the EU. One of them is located on an island. Code: https://t.co/rjCPqunNQ8 Data by former MAVI via @CSCfi AVAA #rstats #tmap #sf
By Tuija Sonkkila (@ttso) in Finland
My #30DayMapChallenge no. 8 (green) - New Zealand grassed land. Code: https://t.co/sdsG0Juggz (warning: Big Data!).
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 6 - Blue Very quick entry. I will probably revisit it, as I forgot to add the Canary Islands in the cartogram computation🤫 Besides that, I managed to do a cartogram! Yay! So happy. The map shows Spanish regions by size of its population.
By Irene de la Torre (@inari_ta)
Day 25: Hydrology More experiments in nudging @vega_vis Vega-Lite away from standard choropleth mapping. Here accumulated flow lines (vectors in steepest downhill direction) show potential for stream formation. Workings & data: https://t.co/m1LQckMCAh #30DayMapChallenge
By Jo Wood (@jwoLondon)
Day 23 of the #30DayMapChallenge : Population…Populations density data overlaid with the world at night. 23 Days in, having to recycle a few layers utilization here and there. #IMNOS
By Patrick Nelson (@pnelson917) in USA
[EN] River Typology for #Switzerland groups the diversity of Swiss rivers according to abiotic, physiographic criteria, not considering anthropogenic impacts. https://t.co/18aQwCorKz by @foenCH #30DayMapChallenge #hydrology @EawagResearch
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge - Points where is this guy? 🤷 ♀️
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Home. *Final* plans for the front yard's new plants. I did 10 maps forcing the challenge, which is more than the one per week I was hoping to do. A fun challenge and great learning opportunity!
By Barbara Kent (@SDGeoGirl)
Day 11 elevation #30dayMapChallenge Made these contours from a DEM when I finally got a merged file working. Simple again but learning everything :)
By Kylie Wilson (@_kyliejane)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 15: Names Street Names in @OnondagaCounty colored by street name type - lots of "Roads" in the county and "Streets" in @Syracuse1848 Data: https://t.co/CEH7gzAPRD Code: https://t.co/6Ifx2n3Kz5 Tools: #ggplot2 #RStats #opendata
By Sam Edelstein (@samedelstein)
For today's #30DayMapChallenge - Places: My extremely limited travels, only ever within the US, mostly along the east coast with only a few trips west of the Appalachians. #Map in #QGIS 3.8. I'm loving playing with antique-looking styles & shapeburst Thx @PetersonGIS
By Philip Pierdomenico (@PhilPierdo) in USA
Día 8 (green) del #30DayMapChallenge : Un mapa para conocer dónde se concentra más la población femenina dedicada al trabajo de cuidados. Con datos del CPV2010, de @INEGI_INFORMA. #rstats #rstatsES Acá el repositorio actualizado: https://t.co/G0i4qIEfDY
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
Dag 14 - boundaries: Landegrenser på land #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 5: rastrs. Tādu aizplīvurotu zaļganu Latviju redz Sentinel-2 satelīts vidēji gada laikā.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge Day 29: Experimental GIS is a lot of experimental analysis. Here we have experimental inside experimental! The Large Hadron Collider (CERN). #gis #geography #geographyteacher #cartography #maps #map #CERN #largehadroncollider #physics #Geneve
By MyPhysicalWorld (@my_physical) in USA
I wanted to do a bike map of #Copenhagen but it needed some processing work. I will work on it another time. So here is a simple road map. The first includes the whole Amager island. Will look for something interesting for polygons later. #30DayMapChallenge
By Mika (@hailmika)
For #30DayMapChallenge day 18-globe I went with the world's most popular sport with an estimated 4 billion fans. Confederation by country in a printable football projection. Feel free to print, wrap, and play.
By Kyle W. Smith (@kwsSanDiego)
#30DayMapChallenge Day 18: Globe Earth model I made in Blender. #gis #geography #geographyteacher #cartography #maps #map #blender #globe
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge Day5: blue. Trying to catch up. ⬇️Buildings of Barcelona coloured by the year of constructions. Entirely based on this awesome work by @dr_xeo https://t.co/tZhipzgkwT Made with #rstats and #Tableau https://t.co/hwOycu9NiA
By Nina Lindell (@ninatsuts)
Day 14 of the #30DayMapChallenge : Boundaries…Fire Perimeter boundaries provided by @USGS to help maintain wireless networks focusing on impacted areas. #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge 7: Red. The app 'Red-listed rainforest trees' dates back to 2014 (and the age shows) https://t.co/YG6q6cFNUR Also, the GBIF API q wrapper rgbif has had a facelift (great!) so my old #rstats code isn't reproducible any longer. More at: https://t.co/AWPdP18kCF
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge - Day 21 - Environment - Mapping peatbog environments in Ireland and UK using Corine land cover data. Kept thinking of that Simon and Garfunkel song but as 'Looking for fun and feeling boggy, Ba da-da da-da da-da, feeling boggy' 🎶😅
By Maedhbh Nic Lochlainn (@niclochg)
@glitch Day 1 theme of #30DayMapChallenge is Points. I submit this realtime map of earthquakes in the last hour as recorded by USGS, built with @Mapbox GL JS. And because it runs on Glitch, feel free to remix the project and play with it yourself! https://t.co/UTABYXNbdm
By Lyzi Diamond in New York 🍎 (@lyzidiamond)
https://t.co/GT0Z4j82tn #30DayMapChallenge #Day5 Very random!
By Adebayo Yusuf Ishola (@bayoishola20) in Nigeria
@Syracuse1848 #30DayMapChallenge Day 11: Elevation Elevation maps of Syracuse - there is a reason they say that @SyracuseU is on The Hill! Data: https://t.co/V455PU6i6j Code: https://t.co/6Ifx2nllqD Tools: #rstats #ggplot2 #opendata
By Sam Edelstein (@samedelstein)
#30DayMapChallenge 3. Polygons Proportion of green spaces in big cities around the world 🌿 I used @Mapbox Studio to style and highlight parks and woods. Then I analysed the proportion of green in the image using this nifty tool from @MKrzywinski https://t.co/WPyytAKfji
By Karim Douïeb (@karim_douieb)
Today's map for "Hydrology" in the #30DayMapChallenge is looking like a zap ice lolly 🧡💛💚💙💜 the map shows the hydrology of the UK and the location of the rivers (coloured by river basin) - you can explore the map here: https://t.co/gbtTxzH9OZ #datavisualisation
By Emu Analytics (@emu_info)
#30DayMapChallenge 3rd day - Polygons It took me a while to find an idea, but at the end I stumbled with the protected areas data from @protectedplanet More info in https://t.co/u7Wj5fCqp5
By Irene de la Torre (@inari_ta)
@f_l_o_u_r_i_s_h @Stad_Antwerpen #30DayMapChallenge nr 9 (yellow): a yellow map of the Belgian municipality of Geel, which means "yellow" in Dutch 😎 https://t.co/tJ6U6ODxI7
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 04 - Hexagons Répartition de la forêt #Corse 🌳🌲🌲 Données Corine Land Cover
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge #Map_03 Polygons Como mapa de polígonos comparto el mapa de Cultivos de Catalunya 2019 (644.376 registros) que me sirvió de base para redactar mi penúltimo post @iagua ¿Y si el Canal d’Urgell dejara de producir maíz? https://t.co/pol8YiAiuo
By Ignasi Servià (@iservia) in Spain
Exploring Helsinki (+Espoo) city bike statistics from August 2019. Data: https://t.co/uHRvEWCtSK #30DayMapChallenge Day 24: Statistics
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge DAY 17. Zones -Cities and commuting zones, 2018 - Do you recognize your region? - info at https://t.co/xSZT3BRhEp - vis at https://t.co/QwdwsacuDN - joined contributions by @EU_Eurostat E4 Team - 13days2go - #GISCO #REGIO
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
#30DayMapChallenge Day 17: Zones. Have you ever heard of the 100-mile border zone in the US? It's an area where US Customs and Border Patrol can perform searches for "reasonable suspicion" of immigration violations or crimes.
By Craig Williams (@williamscraigm)
LOL! Here's a word cloud of the most common words in tweets containing "lol" in the U.S. I'm an #rstats native, but Python's wordcloud worked much better in this case for the masking to the shape of the U.S. Still working on frequency counts. #30DayMapChallenge, day 28: funny.
By Jerry Shannon (@jerry_shannon) in USA
Ando con poco tiempo pero no quería dejar de contribuir con mi humilde aporte al 1er día del #30DayMapChallenge utilizando datos de #datosdemieRcoles #rstatsES.
By 【𝑃𝑎𝑡𝑟𝑖𝑐𝑖𝑎 𝐿𝑜𝑡𝑜】 (@patriloto)
Day 5: Here is an easy one that everyone can do for the #30DayMapChallenge Our followers map! Thank you so much for following us! https://t.co/jJNdk32xxK
By Tweepsmap (@tweepsmap)
@Syracuse1848 #30DayMapChallenge Day 3: Polygons Broadband Rate by Census Tract (ACS 2017, 5-year survey) in @Syracuse1848 Data: https://t.co/X9PzwAEuo4 Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
Red. Alive beef visited Helsinki this week. Beef can also be slang. Beef is red and it is produced. Here's how it changed during 2014-2018. Data: @LukeFinland, @Tilastokeskus #30DayMapChallenge #beef #maatalous #naudanliha #liha #nauta #eläimyys
By Faris Alsuhail (@AlsuhailFaris) in Finland
Day 4 - hexagons #30DayMapChallenge Densité des commerces en Pays de la Loire/shop density in Pays de la Loire (French administrative area) QGIS + PyQGIS, GDAL, OpenStreetMap, Overpass API, Uber #h3 Python bindings Reminder: repo => https://t.co/kKNOQkED1p
By Thomas gratier (@ThomasG77)
Day 16 #30DayMapChallenge (Names) - New Zealand Place names with Greek Mythology origins
By Andrew DC (@andrewdc_nz) in New Zealand
Day 12. Movement #30DayMapChallenge Logistics of Metropolis Supply Center (CEAGESP) and Rural Zone Center #saopaulo #food #agriculture #production #flow
By carolina passos (@carolpos)
Day 4 of #30DayMapChallenge (Hexagons) - Places Tagged in #OpenStreetMap with #TeReo #Maori names
By Andrew DC (@andrewdc_nz) in New Zealand
#30DayMapChallenge day 11. Failed in elevation :D. This could be also considered: Experimental.
By Sanna Jokela (@SannaJokela1)
Day 16 of #30DayMapChallenge: places Schools of Santiago, #Chile by monthly cost | Costo de mensualidad de escuelas. Compare to @Juanizio_C's social boundaries. MINEDUC data + #chilemaps https://t.co/MGexxqkRp6 #rstats Code: https://t.co/rE5aTHxSDW
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge 5. Raster Topographic map of the Weald, nestled between London and the South Downs. Also looks like a dinosaur brain scan. Maybe that's just me... Source: OS Terrain 50
By Helen Cooper (@HelenOfStow)
Day 13: Tracks #30DayMapChallenge Two #strava routes that I cycled last summer #gisday2019 Data: OCM Landscape, EU-DEM hillshade
By Leo (@hendrikxleo)
#30DayMapChallenge: dag 6 : #blauw // Concentratie van rioleringsknopen in #Edegem // #sewagesystem in #blue // #madewithqgis // based on own data and @openstreetmap
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge 20. Rural - Older farm managers - % share of managers aged gt 65 years, 2019, info:https://t.co/cv0EKEHNyj, Statistical Atlas, vis:https://t.co/6VQgUyJujp - joined contributions by @EU_Eurostat E4 #GISCO #REGIO Team - 10days2go
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
Day 19 of the #30DayMapChallenge, urban. Parking fines imposed in Helsinki 2014-2017. I guess this is also one way of mapping the city.
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge Day 15: First Names of newborn babies in Austria since 1984 #STATatlas @STATISTIK_AT https://t.co/1A76tITAdk
By g.katz (@knozi1)
Day 18: Globe A number of countries have practiced or are flirting with the rhetoric of isolationism. Careful what you wish for. Images: England, US and North Korea. Workings & data: https://t.co/4hNTphEQyA… #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge #Map_28 Funny Este mapa se incorporó en el Poster de @SportBSymposium celebrado en 2015 la @lallotjalleida Distribución de 54 pista de Pàdel en Lleida. @padelindoor @ekkelleida @sicorisclub @tennislleida @TennisUrgell @TrevolLleida @cnlleidatennis
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge day 12: a simple route with profile data // #movement by #bike
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day12 : Movement #stravametro cycling in #Glasgow #QGIS3 Check out #ubdc https://t.co/rdAg03gud1
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 11 - Elevation. One of the smaller maps from a #leavingmap made for @volcan01010 #QGIS3 #Iceland
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 4: Hexagons Infographie sur maillage à 10 km² : indicateurs socio-démographiques, pour comprendre les variations du prix au m², données INSEE + DGFIP (Demandes de Valeurs Foncières - DVF en Open Data) #WebAppBuilder #ArcGISOnline #BusinessAnalyst #Esri
By Raynald GARNIER (@raynald_garnier)
#30DayMapChallenge Day 12: Movement: Magnetic North has been moving at an accelerated rate in recent years causing update issues for those who rely on it. Here's an animation of unmarked declination contours moving over the last decade in North America.
By Craig Williams (@williamscraigm)
The Georgia/Auburn game is this weekend, which raises issues of divided loyalty. For #30DayMapChallenge day 14 (boundaries), here's the lines that divide up the Southeast by proximity to SEC schools. In Georgia, the boundary with Auburn runs from roughly Rome to Cordele.
By Jerry Shannon (@jerry_shannon) in USA
#30DayMapChallenge day 9: Yellow As it's the last 26 hours to vote in #BirdoftheYear & Hioho, Yellow-eyed penguin, maybe will get enough votes to be the 1st seabird Bird of the Year, here is a map of how to get from central Dunedin to Okia Reserve, to see the rarest of penguins.
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 21: environment After the farm animals yesterday we thought it might be fun to look into which places have more people than trees. Trees vs. People, who would win in a fight if only numbers mattered. Interactive version 👉🏻 https://t.co/FBXCMIxH5j
By LocalFocus (@LocalFocusNL) in Netherlands
Names. I ran a sentiment analysis on @helsinki street names (or street address name points) using the demo tools of #Kielipankki. As we all know, the machine never lies. Such cheerful results. Data: @HelsinkiKymp #30DayMapChallenge #helsinki #nimistö #dataviz #maps
By Faris Alsuhail (@AlsuhailFaris) in Finland
#30DayMapChallenge nr 16, "Places" en er zijn nogal wat vertalingen van. Welke woonplaatsen bevat de "jongste" gemeente van de provincie Utrecht, volgens de BAG?
By Bart Broex (@bbroex) in Netherlands
#30DayMapChallenge - Day 23 - Population. Population Density from LSOA Attributes. @OrdnanceSurvey #Zoomstack as background, Hotspot generated in #SIS9 weighted with points based on population within LSOA boundary #GIS
By Cadcorp (@cadcorp)
#30DayMapChallenge Day 15: Names Part of the memory of our city is the name of the neighborhoods. In this case, the names of some historic neighborhoods of Santiago (1930-1990) Nombres de algunos barrios historicos de Santiago (1930-1990)
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 12 Movement. Trips inside the metropolitan zone of Mexico City during a laboral day.
By jlOlarteQ (@jlOlarteQ)
#30DayMapChallenge day 25: a greenhouse gas emissions map of Europe // #climate // data by @EUEnvironment
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 30: Home 'Nuff said! Everyone did great this month on the challenge. Thanks for a fun 30 days! #gis #geographyteacher #geography #cartography #maps #map #landsat #landsat8 #ohio #arcgis #qgis #environment
By MyPhysicalWorld (@my_physical) in USA
Mx siembra 313 cultivos en 21 millones de ha, en 2,432 municipios. Para 44% de ellos (1,061) el #maíz es el principal cultivo en términos de valor. Claro que, si el mapa fuera por relevancia cultural y gastronómica, en todos ellos sería maíz🌽 #ElPaísDelMaíz #30DayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge 26: ūdeņi. 37500 km Latvijas upju pa valsts robežu var izvīties apmēram 20 reizes. https://t.co/hpiaqtMFaK
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge Day 4: hexagons ( alas, not mine ) citizen science Particle Matter ( feinstaub ) map of the @luftdaten project, helping monitor microparticles in the air ( also noting the exceptionally high 'smog' particle levels in Delhi (50 is the EU safety limit ))
By miska knapek (@miskaknapek)
#30DayMapChallenge I had time today to crank this out on my laptop. Cranberry bogs are central to the SE Massachusetts economy, and were a major food source for Native Americans. Made this map in #QGIS and the logo with the (heh) https://t.co/elrqxlQqFF. Time for my kombucha.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 1. Points One tiny point per 10 people found from the @EU_Eurostat population grid.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Día 30. Hogar. Es es el último día del reto y el tema es Hogar, un reconocimiento a @tjukanov por la iniciativa y nos vemos el próximo año
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Ending #30DayMapChallenge, here's day 30, home. I thought about this one for a while and want to take the opportunity to highlight Irish Housing Assistance Payment data - these households need homes, not to be 'housing need met' by state funding of private rental #housingforall
By Maedhbh Nic Lochlainn (@niclochg)
https://t.co/c1hjv7yAnA #30DayMapChallenge #Day10
By Adebayo Yusuf Ishola (@bayoishola20) in Nigeria
Not perfectly happy with this points sample (difficult to read in Paris area due to density) but done ;) #30DayMapChallenge
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 03 - Polygons Parc Naturel Régional de Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Day 2. Lines Haskell County, Kansas crop circles. Derived from 2017 NAIP.
By Travis White (@visualvariable) in USA
Day 19 (urban): Urban areas are rapidly expanding in the Mediterranean. These maps show how urban areas have expanded between 1990 and 2018 in 12 of the largest cities in the Mediterranean #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge my Day 07 - Red, a little late! Took far, far more prospecting, mining and grokking than I expected... Blood Units Donated per 1000 population, a re-creation of a 2016 WHO report map. Needs a bit more QC, 90% happy with it I think.
By AndrewBoltonBPDTS (@ABpdts)
#30DayMapChallenge with #rspatial 6/30. Blue: To me "blue" is the colour of the ocean🌊. This is a good opportunity to put data from my PhD in marine biology back to life. Distribution of flatfishes in the Eastern Channel 🐟 > More about my PhD project: https://t.co/m0nvMuvXty
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 15 #Names 😅 The name "Carmen" in Mexico City #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Jour14: boundaries. Les 10 plus longues frontières terrestres. Proposition graphique et pop sous #Illustrator
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge -4.-Hexagons-AuthoritativeAddressData under free+share-alike licence,2019, data at:https://t.co/Ra5LLZPSDY joined contrib @EU_Eurostat E4 Team 27 days2go - GISCO - software: postgres
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
🗺 No.5 Showing NetCDF data using NOAA’s Multi-scale Ultra-high Resolution SST 🦉 Code: https://t.co/h9sLW53HiK #30DayMapChallenge Thanks for these package's maintainers! {tidync} @mdsumner {ggdark} @nsgrantham {rerddap} Scott Chamberlain & @rOpenSci {cptcity} @SergioIbarraEs1
By Uryu Shinya (@u_ribo)
Day 14’s theme is Boundaries - I decided to mess around with this to try to show the implications of boundaries and borders in lieu of #Brexit negotiations #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge 4- hexagons. For me is one of the most tricky challenge because i had a lack of inspiration. Btw, here as always the island of Sardinia hex tasselated, every hex contains average pop. Madein #rstats with sf::st_make_grid() and visualized with tmap library
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge #mapvember #rebelmapvember Since I painted Antarctica red, the green isle of Tasmania can be blue. Trullenuer / Toindy / Mebbelek and region. A wonderfully rugged group of quartzite peaks… ASTER GDEM v3, rendered in @QGIS
By Adam Steer, doctor of all the things! (@adamdsteer)
#30DayMapChallenge Day 9: Yellow A controversial plant? Either way, Forsythia is one of the best signals that Spring is around the corner when it blooms. #gis #geographyteacher #geography #map #maps #cartography
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge Day 26: Hydrology. Quickly cobbled together some Tuscan waterways and rivers in #qgis
By Sam J (@samwise_v) in United Kingdom
Day 5: Raster Modal flag colours. Each country is a raster grid cell, coloured by most common pixel colour of its continent's flags. With more time, I would have coloured countries individually. Workings & data: https://t.co/35aDP3jEJl… #30DayMapChallenge
By Jo Wood (@jwoLondon)
‼️ Rayshader 0.13.1 is on the CRAN! Make gorgeous maps in just a few lines of #rstats code. Join me for my #MusaMasterclass this Friday to get a hands-on introduction to #rayshader: https://t.co/VdYxwNfyT0 (I'll also say this is my #30DayMapChallenge for Day 11, Elevation🙂)
By Tyler Morgan-Wall (@tylermorganwall) in USA
#30DayMapChallenge day 14: Boundaries #rstats
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 6 #Red 💀💀💀 Massacres in Cauca #Colombia A sorrowful story pretty much needed to build #peace This map deserved special dedication, so I left the daily pace behind (Source @Indepaz) Using: @qgis @geopandas #Seaborn #pydata @openstreetmap #gischat
By Diego Pajarito G. (@diegopajarito)
#30DayMapChallenge Hexagons using https://t.co/U1CqLTOTPp for Nairobi region. The maps below show movement times from the center region colored in a different color to the other regions. Averaged by the day #hexagon #UberH3 Made with QGIS and queries made in PostGIS
By dougie (@Meesterdoug)
A piece of London. Digital surface model rendered with @blender_org Data: https://t.co/egLrjs7oCL #30DayMapChallenge Day 22: built environment
By Topi Tjukanov (@tjukanov) in Finland
Día 30: Home ¿Sabían que #AirBnB ofrece en renta más de 4 mil deptos/casas enteros tan solo en @AlcCuauhtemocMx? ¿Esto tendrá afectaciones para quienes viven ahí? ¿Habrá personas desplazadas de sus viviendas debido a la incursión de AirBnB en el mdo? #30daymapchallenge #rstats
By Luis David R (@1LuisDavid)
#30DayMapChallenge aggregate car accident in south Australia per 30 minute for all 2018, using Hexbin, #keplergl
By Mim (@mim_djo)
Density of restaurants, bars and cafes in Lviv (Ukraine) #30DayMapChallenge Day 04: Hexagons #qgis #openstreetmap
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
The first 'Peaceline' barriers were erected in Belfast 50 years ago. Most of them are still standing today. Here's where they are, overlaid on a map showing religious identity. More info: https://t.co/segKWqf7cb Data: @BIP_Interfaces & @NISRA #30DayMapChallenge #boundaries
By Richard Cantwell (@ManAboutCouch)
#30DayMapChallenge 27: Resources Chickens! Literally hundreds of millions of chickens on the Delmarva Peninsula. Data from @USDA Census of Agriculture Map made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo) in USA
Areas that are at high risk for mine shaft collapse from old coal mines. #30DayMapChallenge #Day27 #Resources
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge Day 13 - Tracks: I call this masterpiece 🙃 "Typhoons and Tropical Storms Named Tim" (just playing catch-up here!)
By Tim St. Onge (@TimStOnge) in USA
Getting in on the #30DayMapChallenge with Lake Baikal as mapped two hundred years ago (1827) by the Russian Army. That's one vast empire and one deep lake! #GIS #historicalmaps #Baikal #hydrology
By The Imperiia Project (@ImperiiaProject)
#30DayMapChallenge Day 29: experimental
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 18 - Globe: It's time for "Better Know a Projection!" Here's the Craster Parabolic Projection with some fun factoids to impress your friends! (Source: Blue Marble Geographics)
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge Day 18: Globe Density of #30DayMapChallenge tweets per country so far @googleearth #qgis @7Javier6
By David Díaz Escandón (@ddiazescandon)
#30DayMapChallenge Day 3: Hexagon Thailand Population Density 2015 on Hax-grid 86.6 https://t.co/XIoHwkQSC1. Made with #qgis Source: GHS-pop #gis #map #maps #socialgeography #cartography #mapart #thailand
By Note Dherapat (@prospero021)
#30DayMapChallenge Day 3: Polygons A viz of a Public Transport Availability Indicators at both the stop/station and small area levels across GB which takes account of both service frequency and service area made by @UrbanBigData showing Glasgow https://t.co/sb4lskc30F
By Nadiia (@NadiiaGorash)
Protektitaj Monumentoj de Francio #Esperanto #30DayMapChallenge Tago 22 : Built Environment
By Reĝa Ardeo (@RegxaArdeo)
#30DayMapChallenge Lines NC Ferry routes ⛴
By brady (@geo_brady)
Day 6 of the #30DayMapChallenge - #blue The surface water network and lakes around #Birmingham displayed on #OpenStreetMap background. #map #mapping
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
Day 23 Population for #30DayMapChallenge - some small multiples of 2011 Population distribution of England and Wales by age group. Watch people age and move out of the cities. Trying for a Pop-Art effect but not sure it really works for districts.
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Urbanization puts huge pressure on nearby forests. In #Zambia, logging and clearing for agriculture damages the forests that surround the nations growing capital Lusaka. #Mapbox #Photoshop #Africa
By Carl Churchill (@Cchurchili)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 21. Environment #30DayMapChallenge Protected Areas in Mexico. Data from @globalforests
By D. (@daniel_isita)
#30DayMapChallenge #Map_19 Urban #Lleida #Aigua Fa uns dies vam anar a @escolapaisosca1 i vam explicar el dipòsit de l'aigua de Lleida i la ruta de les fonts. @paerialleida @turismedelleida
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge Dia 20. Urbano (Urban) Rutas del transporte público concesionado de la #CDMX con las carpetas de investigación de "ROBO A PASAJERO A BORDO DE PESERO COLECTIVO CON VIOLENCIA" Porque parte de vivir en una zona urbana es el riesgo de que te roben en el camión
By Juvenal (@JuvenalCamposF)
Algo de la conciencia política en el 2018, zonas en los extremos estadísticos del porcentaje de participación. #30DayMapChallenge Zones fuente: @INEMexico #Analytics #Statistics
By Carlos Cortés (@jccpmx)
Day 21 of the #30DayMapChallenge - #Environment London has recently become a #NationalPark and these land-use and volume of built environment maps show the significant extent of the green environment in Greater London. @LondonNPC (1/2)
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
Day fourteen of the #30DayMapChallenge (names)... Breaking down most #mlb home runs hit by birth state
By Daren Willman (@darenw)
#30DayMapChallenge Day28: Fun Pipi like a STAR Rennes, stations vélo STAR qui se situent à moins de 150m d'un toilette public de la ville (pts jaunes). Parfaite information pour des retours de soirée arrosée et rester éco-responsable et hygiénique ! @STARmeparle
By Alice Caron (@Alice_Caron_) in France
#30DayMapChallenge #Day10 Oleron Black&White #TestCartographique Inspiré par @Artisans_Cartos https://t.co/ePLMq1Ha3a
By Aurelien Chaumet (@AurelienChaumet) in France
Part of Eastern Beskyds, Chornohora (Black Mountain) #30DayMapChallenge Day 02: Lines Thanks for the tutorial @imhere_asia You're great! #qgis
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
Day 10 of the #30DayMapChallenge and the fatigue is setting in a little bit. Keeping it real simple today with a black and white map of the Black Sea. #Cartography
By Riley D. Champine (@rileydchampine)
Day 26 #30DayMapChallenge (Hydrology) - Avon River, Christchurch Network Map with bridge crossings. This one I did a few years ago but never got around to releasing properly.
By Andrew DC (@andrewdc_nz) in New Zealand
Where do the refugees come from in 2019, where do they go? The line thickness indicates number of people resettling Jan-July. Data: @Refugees Interactive map: https://t.co/qaGIsQ0TA5 #30DayMapChallenge Day 6: Blue Using https://t.co/dfrl3GQrCc by @ilyabo
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge is the movement of streams in the Navarro watershed in NorCal. It's also the opening project for my @coursera course. #gischat #geography #cartography
By Kendell Welch (@kendelldotio)
Starting the #30DayMapChallenge. Don't have a ton of time today, but, for day one's challenge "points," I used my {ctar} package to get positions of all the trains in Chicago and plotted them according to color. #rstats #gis
By Will Bonnell (@_willdebras)
Day 16 of the #30DayMapChallenge - Places. I categorized historic places in NZ and mapped them. (Note that those labelled NA or not in any of these categories have been removed). Still not sure what a Battery is to be honest but apparently we have quite a few 🤷
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 26 - Hydrology: Our #GIS aficionado @ian_usher1985 using #CadcorpSIS and @OrdnanceSurvey #OpenRivers data, shares GB rivers by length. Shortest are blue, longest are red.
By Cadcorp (@cadcorp)
Boundaries, not all of them so simple. Disputed areas according to Natural Earth data (v 4.1.0). Most of the work here done with Inkscape, because QGIS was crashing a lot, due to the draw effects I think. #30DayMapChallenge #naturalearth @qgis @inkscape
By Faris Alsuhail (@AlsuhailFaris) in Finland
https://t.co/Yl93SgxNAs #30DayMapChallenge #Day8
By Adebayo Yusuf Ishola (@bayoishola20) in Nigeria
#30DayMapChallenge #⃣1⃣9⃣ #dataviz of The past, present and future of urban areas. Made with #rstats
By Philippe Massicotte (@philmassicotte)
One more #30daymapchallenge The past 20 men's marathon records (since 1967) compared with Eliud Kipchoge's 1:59:40 run in Vienna in Oct. The two red runners are Kipchoge, the first is his 1:59:40 run. The second his world record. The route is the Berlin Marathon route.
By Alastair Otter (@alastairotter) in South Africa
#30DayMapChallenge Day 22: Built Environment. One last recycled project... Wellington City. Wellington DSM, DEM and aerial imagery. Notice the scars from the roads cut into the sides of the steep hills. Data @LINZLDS. Bathy interpolation with SAGA GIS. Vis with @QGIS and @OSGeo
By XYCarto (@XyCarto)
Controversial map for Day 14 of #30DayMapChallenge – Boundaries. Sandwiches in New Jersey…… [hides]
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge 6. Blue All the seas & oceans. #kleinBlue
By Karim Douïeb (@karim_douieb)
Day 5 of #30DayMapChallenge (raster): locations of buildings in Estonia (in 2017) depicted by address points (data: Estonian Land Board address database) #builtenvironment #location #maps #dataviz
By Positium (@positium) in Estonia
@Syracuse1848 #30DayMapChallenge Day 5: Raster Spectral Maps of the Finger Lakes (note: I've never done much with raster maps, but this was fun!) Data: https://t.co/Tk7v2N9CdL Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
On the Origin of Species was published almos 160 years ago, so for the #30DayMapChallenge day 17, we show the evolution acceptance percentage in the countries visited by Darwin during the HSM Beagle voyages, and some others countries. #QGIS #charlesdarwin @ddiazescandon.
By Javier (@7Javier6)
#30DayMapChallenge 18. Globe - Antarctica 🇦🇶
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge 18: globuss. Kur ir Latvija? Pats pirmais eksperiments Blenderī, kādreiz būs jāiemācās un jāuztaisa glītāk, jo saimniecībā noderēs.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
Day 6: Blue. Oh well, at least I tried🤷️#30DayMapChallenge
By Anniina Kovalainen (@kovalainenaa)
Today’s #30DayMapChallenge theme is “elevation”. While we may not have much of it here in The Netherlands it doesn’t mean it’s all flat. The Limburg panhandle has some rather cheeky little climbs, which I like to bike, and a lot of them are captured here. #cartography #lovemaps
By One Stop Map (@onestopmap)
"Safe" Parking Streets in Los Angeles 2. Lines #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
delayed by few days... Day 3 of #30DayMapChallenge: polygons. Rainfall in mandals (administrative region above villages) in Telangana state between this July-September. Made in matplotlib. Data from Telangana open data portal.
By Bhanu K ¯\_(ツ)_/¯ (@thoughtisdead)
Day 21 of the #30DayMapChallenge : Environment…US Current drought conditions from @NOAA…lets hope water doesn't become the new gold. #IMNOS
By Patrick Nelson (@pnelson917) in USA
Day 18 of the #30DayMapChallenge with the theme Globe 🌏. I looked at unemployment rates and found massive variation in Africa, with Niger sitting at 0.25% & South Africa at 27%. Would you have guessed that South Africa has the highest rates globally? (I probably wouldn't have)
By Emma Vitz (@EmmaVitz) in New Zealand
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 19 (urban): The Growth of Cities, 1500 - 2000. Circle size = population
By Maarten Lambrechts (@maartenzam)
Day07 - #red Map of tweets concentration with #love #milan #30DayMapChallenge @tjukanov
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 4 Hexagons . No. de artesanos en Colombia por depto. Realizado en #R Seguí este tutorial https://t.co/dcR6Py7dpG librerías: geogrid y tmap. Fue lo mejor que pude lograr... Comparto código #rstatsEs #mapadeColombia #visualizaciondedatos
By Edwin Mendivil Barceló (@vizualdatos)
15 Names Rio de Janeiro Neighbourhoods #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge 2. Lines: Cyclone tracks of the West Pacific. Brighter tracks mean stronger cyclones. The Philippines says hello to lots of them yearly hehehuhu. Tracks from IBtRACS; island shapes copyright @openstreetmap contributors; made with @qgis #mapmaker #pacific
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge day 1: points. Tervahaudat Suomessa / Tar pits in Finland. 14776 features. Data from super cool @Maanmittaus topographic data #OGCAPI beta: https://t.co/5ukCMj8JFh
By Teemu Saloriutta (@TeemuSaloriutta) in Finland
#30DayMapChallenge 26. Hydrology🌊 First i wanted to #dataviz @emcdda about cities' wastewater drug analysis and call it "and the party goes on". But no data to download, only interactive😭 So i searched for water towns instead. #maps #rstats #ggplot #Zhouzhuang #china #water
By Olga Kononykhina (@bettermeasured)
Day 12 of #30DayMapChallenge (movement): some people in Tartu (gps data)
By Anto Aasa (@antoaasa)
#30DayMapChallenge Day 5: Blue Landsat image analysis of Glacier National Park snow and ice accumulations. Analysis looked at two decades of satellite data to measure snowfall and glacier health. #gis #geographyteacher #geography #map #maps #cartography
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge. Day 10: Black and White Mapa de la red ferroviaria chilena. Se incluyen estaciones y vías que están en operación, levantadas o abandonadas. Base de datos https://t.co/TJ7DPQwn1E. Link: https://t.co/S90jF3tV3F
By Humberto Iván (@humbertoivanrm)
Day 13 of #30DayMapChallenge - tracks. An old comparison of mine for 3 GPX trace/track recording modes with a #Garmin device. Same road and direction. Red - Auto/Most often Blue - 0.01 km Green - 1 second
By Rihards Olups (@RihardsOlups)
For #day19 urban theme @kahosford used 2001-2016 census data to map cycling mode share in 4 #urban areas in Canada. Here is Vancouver's progress over the past 15 years #yvrbikes #30DayMapChallenge
By INTERACT (@TeamInteractCA) in Canada
For Day 6 of the #30DayMapChallenge (blue) @RNLI open data - RNLI Stations to RNLI Callouts 2008-2016 using straight line analysis - by @ian_usher1985 #GIS
By Cadcorp (@cadcorp)
#30DayMapChallenge 9. Yellow 🍺🍺🍺 Breweries density in France 🍺🍺🍺 Made with #QGIS
By Romain Lx (@lacxrx)
My #30DayMapChallenge no. 7 - population change in Auckland region 2018 Census vs 2013. One dot per additional person. A few areas had small population reductions that are not shown. Code: https://t.co/Xn2gaSuv1w
By Aaron Schiff (@aschiff)
#30DayMapChallenge #mapvember #rebelmapvember working on Red Antarctica… not quite what I was after, but need to finish tinkering for today! @NSIDC coastline, #REMA elevation, @qgis rendering with #SAGA GIS topographic opening
By Adam Steer, doctor of all the things! (@adamdsteer)
Day 3 of #30DayMapChallenge – Hexagons: Settlers of Aotearoa
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 30: Home. Not an home made map, thanks @IGNrando to make my hicking projects possible. Home is definitely where the heart is.
By Alice Caron (@Alice_Caron_) in France
Day 14 of #30DayMapChallenge – Boundaries: 2019 Cricket World Cup Final *Those* boundaries (count them)
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 30. Home. Done🥳. This was exhausting but fun :) Here is my home. Home is a place to relax and work. And during the summers I try to maintain the garden. The map is a revision of my garden map posted earlier this year. Some things have changed since then :)
By Sanna Jokela (@SannaJokela1)
Total rainfall in Ireland in 2018 from @MetEireann data #30DayMapChallenge #Day5 #Raster The required attribution is a little much...
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge Day 8 #Green 🌳🌱🌿 Green spaces in Mexico City #QGIS
By Carmen Carro (@CarmenCarro_)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 20 (rural): Agricultural crops in my municipality (Diest, Belgium)
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 13. Tracks - EU investment in Trans-European Transport Network, 2019 - info at https://t.co/MPQEKi5B8f - vis at https://t.co/yrdjwCpjRQ - joined contributions from our @EU_Eurostat E4 Team - 17days2go
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
Day 7: Red "Detected Forest Fires (Confidence ≥ 80%) in the Last Four Years in #KalimantanBarat, #Indonesia" Data source: SiPongi Karhutla Monitoring System on https://t.co/QLMh9J9TOS; NPP (LAPAN) 2016-2019 Processed using: #esri ArcGIS Desktop 10.6 #30DayMapChallenge
By Rifqi Oktavianto (@rifqi_oktav)
Day 5 of the #30DayMapChallenge and I made a land cover map of London using the CEH's LCM 2015 raster dataset. I also calculated the total area of each land cover in the city. #London #Raster #GIS
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge Day 20: Rural highest Ozone concentrations are generated in rural areas actually in Sao Paulo state, following the wind flow https://t.co/sd6f9zEtCE #atmoschem #wrfchem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Nearly finished with the #30DayMapChallenge! Day 29’s theme is #experimental, so to celebrate #BlackFriday2019, here’s a black and white @joydivision map of Dublin
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge day 4 This was a project I did trying to identify what single family homes in a given city had the highest potential for happiness. Each hex is 20 acres, categorized by mean score derived from intersecting parcels. #gischat
By Kyle W. Smith (@kwsSanDiego)
#30DayMapChallenge Day 13: Tracks A track near where I live using a combination of @LINZLDS topo data and @greaterwgtn walking tracks. Finally got to use @drewfore tutorial to add some nice hachures to a finished map :) made with #QGIS and Inkscape
By Pete King (@Generally_Geo)
#30DayMapChallenge day 11: a shaded relief based on the #dhm data by @info_vlaanderen on a @Wikimedia tile layer based on @openstreetmap data. // #elevation @ fort 5 in @GemeenteEdegem
By Michel Stuyts 🌍 (@michelstuyts)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx 11. Elevation #30DayMapChallenge The highest place in Mexico: Citlatéptl (5610 m.a.s.l.) #Citlatepetl #PicodeOrizaba #MapPorn #Mexico #QGIS #mountains
By D. (@daniel_isita)
My little contribution to the #30DayMapChallenge Day 4 - Hexagons Percent of public green spaces per hexacell in Toulouse made with @qgis and @TlseMetropole for the data
By Tony Hauck (@Bill_Bluray)
#30DayMapChallenge Dia 6. Azul (Blue) Mapa que muestra la Aportación de los municipios al total de votos por @ECardenasPuebla en las extraordinarias para gobernador de Puebla. Como se ve aquí, prácticamente 1 de cada 2 votos se obtuvieron en un solo municipio. #rstats
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge day 11: elevation. Vongoiva fell in Urho Kekkonen's National Park. @Maanmittaus 2 m DEM, #QGIS multidirectional hillshade. Coloured with ortophoto, blending mode “burn“. Idea from this tutorial: https://t.co/ypCbstwbpO
By Teemu Saloriutta (@TeemuSaloriutta) in Finland
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 12: Movement It is snowing in @Syracuse1848, so let's revisit a bad snowstorm from January 2018 and see how snowplows operated. Data: https://t.co/LbKlM7XKZA Code: https://t.co/6Ifx2n3Kz5 Tools: #ggplot2 #gganimate #rstats #opendata
By Sam Edelstein (@samedelstein)
My #rstats participation to the #30DayMapChallenge with #rspatial 🗺️ 1. Points: Daily number of light vehicules 🚗 at control points in Loire-Atlantique department (France)🇫🇷 in 2010 and 2013
By Sébastien Rochette (@StatnMap)
For day 7 of the #30DayMapChallenge the subject is red, so for all my friends and relatives in the NSW Rural fire brigade is a map of the NSW bush fires. I don't normally put a scale on this sort of map but here it really helps to see those plumes are 300+km long.
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Day 1⃣2⃣ Movement: Ferry routes on Lake Como, one of the best places on Earth 🇮🇹 Notice the high traffic around the world famous Bellagio 😊 All data from @openstreetmap, map designed in @qgis 🗺️
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 13. Tracks - Map of the Angel’s Landing hiking trail in Zion NP. (ugh ok I had to cheat again on this one and use an existing map- extra busy days make this challenge... challenging 🧐)
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Day 30: Home The last map!! Último mapa!! Fiscal appraisal for homes (USD/M2) in Santiago / Avalúo fiscal para viviendas (USD/M2) (ya que no tengo valor comercial, pero la tendencia debería ser muy similar) Data from: @SII_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 5 Raster. Relieve de Colombia, generado con #R. 3 paletas de colores para escoger :) #rstats #rstatsEs #DatosDeMiercoles #visualizaciondedatos #mapadecolombia #gis #rastermap #dataviz #beautifulmap #colombia #tmap
By Edwin Mendivil Barceló (@vizualdatos)
POINTS of no return. #30DayMapChallenge 01/30 POINTS Locations of 9 nearest black holes (from 3000 to 29700 light years away) in relation to the Earth. Source: Wikipedia https://t.co/Wp9236Gevh @nasa @isro #blackholes #astronomy did i get this right?
By Vaibhav Bhawsar (@voybhav)
Day 26 of #30DayMapChallenge - hydrology Analyse du PH en Normandie ! #API #hydrologie #nitrates #qualite #eau @RegionNormandie
By Ben (@benfriin)
#30DayMapChallenge 4. Hexagon I haven't done hexagon maps before, or better say, the data i usually work with are not detailed enough to be nicely visualised using hexagon-map. But let's try: Schools in Berlin #dataviz #data #maps #ggplot #rstats #hexagon #Berlin #schulen
By Olga Kononykhina (@bettermeasured)
Day 16 of the #30DayMapChallenge, places. My movements at my workplace according to Google maps timeline. You know where to find me 😉
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge 18. Globe As I have no time for making a map today, here is an old world map of agricultural crops (Schrader, Prudent and Anthoine, 1904)
By Romain Lx (@lacxrx)
#30DayMapChallenge Map_15 Names. Una de las cosas bonitas que haces al hacer una concentración parcelaria es conocer y redefinir los nombres de los parajes de cada parcela. 👩 🌾👨 🌾 CP Conca de Tremp. 2003-2010. El post @iagua #CP
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge Day 25 - Climate - Mapping two things that contribute to climate change in EU using Eurostat data - national greenhouse gas emissions per capita AND bovine 🐄 populations as % of total EU28 cows. Ireland, punching above our weight with both 😪
By Maedhbh Nic Lochlainn (@niclochg)
Black & White for Day 10 #30DayMapChallenge How far you get by car in 10, 20 and 30 minutes
By carolina passos (@carolpos)
An extended #30DayMapChallenge. Nov 14. Boundaries. 2020 General Electorate Boundaries as proposed by the Electoral Commission, with implied partisan lean...
By Rustie (@rustie5555)
Whereabouts of VOI electric scooters in the Helsinki metropolitan area. Status: locked, and battery level >=80% (The red dot is Helsinki Central Station) Thanks to the FB group Finnish Open Data Ecosystem for this hint: https://t.co/LYVIH5etTb #30DayMapChallenge #ggplot #rstats
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge - Movement. A bit busy today so I decided to reuse this map from last week. Incoming international students in India. #maps #india #indian #indianculture #education #international
By indiaviz (@indiaviz)
#30DayMapChallenge Day 13 #Tracks 📍My locations saved on Google Maps #QGIS #Python
By Carmen Carro (@CarmenCarro_)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb #30DayMapChallenge nr 24 (statistics): Population by lat/long marginal histograms added to population grid maps. Still very rough, would love to develop this some more and do it for all countries
By Maarten Lambrechts (@maartenzam)
Sticking with CSO data on #Day8 of #30DayMapChallenge - for 'the emerald isle', it strikes me that we've not many placenames with 'green' (or 'glas' 🇮🇪) so that's what I'm highlighting. I definitely find themed map-making more zen than daytime tv for post-appendix op recovery...
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 18: Globe🌎 Anyone remember the brief landing sequence on LV 426 from one of the greatest sci-fi films ever - Alien? Well, I tried to recreate it for today's 'Globe' challenge. #map #3d #animation #scifi
By Craig Taylor (@CraigTaylorGIS)
A última hora Dia 6: Blau. Xarxa Hidrogràfica Principal de Catalunya (ACA) #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
For day 5 of the #30DayMapChallenge (Rasters) I’m re-sharing my #Airbnb Gentrification Vulnerability Index for Dublin, created using @InsideAirbnb data
By Antonia Blankenberg (@blanky343)
@fitnr @openstreetmap #30DayMapChallenge – Raster Satellites don't a high enough res to show people, but there are so many in each pixel. The lens is capturing to a moment in so many lives, but can't quite reach them. Including my own! This is the first image of me from space. Source: @NASA_Landsat.
By Dylan HoHoHoriarty (@DylanMoriarty)
My Day 3 - Polygons map: I call this piece "Buildings of Downtown Anchorage, Alaska, colored by footprint area." #30DayMapChallenge
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge days 23-24 population & statistics: exploring 1 km x 1 km population grid by @Tilastokeskus. Yellow map: 0-14 years age group bigger than 65+. Purple map: 65+ age group bigger than 0-14.
By Teemu Saloriutta (@TeemuSaloriutta) in Finland
#30daymapchallenge day 28 is 'funny'. Hmmmm 🤔 This map activity is fun AND some would consider finding a #sasquatch in #BC rather funny! Great for #elementary #students learning about regional & historical places, animals and icons across #Canada: https://t.co/71XxyEBPXA
By GIS for Education (@GIS4Teachers)
Dia 16: Places. (Un dia tard) Cims de més de 2000m a Catalunya. Dades i mapa base d' @openstreetmap #QGIS i el mapa de localització... uff.. #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Saturación de comercio de Proximidad Day 6: Blue #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
As sea surface temperature changes, purse seiners can target other species that are easier to catch. This map shows habitat of species in our study that can be caught using purse seines. They make up about 10% of all fish caught in the Pacific Ocean. 🐠#30DayMapChallenge
By UMD FIRE (@umdfire)
Day 23: Population #30DayMapChallenge Inhabitants per square kilometer at neighborhood level Data: CBS buurten kaart 2018
By Leo (@hendrikxleo)
#30DayMapChallenge - Day8 #green
By Surface Libre (@surfacelibre)
#30DayMapChallenge Espacios culturales independientes en México https://t.co/2wBJR3aTR2
By Mishelle Muñoz (@mishelle_mg)
#30DayMapChallenge Day 23: Population In-place inhabitants share relating to population, Rhône and Loire departments
By Alice Caron (@Alice_Caron_) in France
Day 13 #30DayMapChallenge #Tracks I #SabíasQue con #LaIDEdeBogotá puedes conocer los servicios troncales de Transmilenio y sus diferentes estaciones ubicadas en las vías principales de la ciudad. Explora el mapa aquí https://t.co/9sU4xrecTE #MapasBogotá
By Catastro Bogotá (@CatastroBogota)
Day 16: Places #30DayMapChallenge #rstats #codein1tweet data: https://t.co/sHFyCkhdvS code: library(sf) places <- st_read("nz-historic-places.kml",quiet=TRUE) %>% st_transform(crs = 2193) #dateline fix plot(st_geometry(places$geometry),pch=".", main="NZ Historic places")
By David Hood (@Thoughtfulnz) in New Zealand
Utilisation des transports en commun pour aller au travail : une cartographie à l’échelle nationale avec les données @InseeFr pour analyser le comportement des français. #30DayMapChallenge #BuiltWithMapbox https://t.co/3WmEKBJw8D
By visualizemap (@visualizemap) in France
#30DayMapChallenge Day 16 - Zones The (not so tiny) total #eclipse zone (2017)
By Gaëlle (@Gaelle_Sutton)
Day 23 of #30DayMapChallenge: population Ethnic diversity in #Christchurch at the meshblock level. Herfindahl Index, lower is more diverse. Data from @StatisticsNZ 2013 Census https://t.co/fw3jst94uH + #Rstats. Code: https://t.co/i5umr94WuK
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 25: Climate - Average temperatures throughout the year (1970-2000) #opensource #worldclim #climate #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
Continuing with the eBird data analysis for today's #30DayMapChallenge (zones). Here's zones of species diversity in Athens. Playing around with drop shadow in @qgis for this one, analysis in #rstats.
By Jerry Shannon (@jerry_shannon) in USA
for #30daymapchallenge day 16 places. our @geolytix central london suburbs.
By GEOLYTIX (@Geolytix)
#30DayMapChallenge 20. Rural Today i map #Europe. And how europeans living in rural vs urban areas perceive their country's most important challenges data: Eurobarometer 91.2 2019 https://t.co/04XlRXVfZm #maps #rstats #rural #urban #eu #ggplot #eurostat #immigration #climate
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 2 - Lines (some) geographic lines
By Gaëlle (@Gaelle_Sutton)
Day 15 Names. Ok bit of a cheat but hopefully worth a plug. Search for your Townland web map app. Plus some @osni_maps #historical maps. https://t.co/PW8sjnVs0E #30DayMapChallenge #gis
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
Day 3 of #30DayMapChallenge: Polygons. @cristinapoiata and I mapped biodiversity hotspots in the Americas 🌎, based on data from @CommunityCEPF. Biodiversity hotspots are biologically diverse yet threatened terrestrial areas. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge , nr. 8, "green"is het thema. Jaren geleden al maakte ik een kaart van openheid en overbouwing in het Nederlands UNESCO-Werelderfgoed, de Beemster is er één van.
By Bart Broex (@bbroex) in Netherlands
Traveling to Kansas for #30DayMapChallenge Day 9: Yellow. The Kansas state code officially designates a portion of U.S. 54 as "The Yellow Brick Road", and the city of Liberty as "the land of Oz".
By Ariel Kadouri (@akadouri)
Tasa de policías preventivos estatales x 100 mil habitantes en 2018, México. #30DayMapChallenge Day 06 - Blue.
By Daniel Vigil (@d_vigilr)
Day 12 of #30DayMapChallenge – Movement. Here’s U.S. soybean exports on an Azimuthal Equidistant projection (?!!?), looks a bit WWII propaganda-esque…?
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 25 : Climate - Lignes du Réseau Ferré National non-exploitées #Nord #RStats #OpenData https://t.co/rVZm4ghf74 https://t.co/hjbOA6Htvs
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge Rural, greenmap of @stadtongeren : *trees >3m - 11,28% *shrubs 0m <3m - 11,77% *agriculture 60,90% data agentschap natuur en bos, @info_vlaanderen https://t.co/lLgOQbJl6C
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge a typical solar farm structure using exact coordinates and color to show the construction progress #datastudio #deckgl https://t.co/qOOzwZsydx
By Mim (@mim_djo)
@IYIL2019 Día 19: Urbano / #PujxKäjp El aumento de población en las comunidades #mixes ha generado zonas proto-urbanas. La forma de los polígonos de estas zonas difieren según se ubiquen en la sierra o en la zona baja. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 6. Blue Cyanotype-ish map of Eigg, OS Open Zoomstack, #qgis, added a procedural paper texture bumpmap in #b3d
By Steven Kay (@stevefaeembra)
#30DayMapChallenge Day 17 : Zones - Zones commerciales et de bureaux dans la MEL #Lille #RStats #OpenData https://t.co/iwFpRNly67
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge Green. Renewable power plants in Canada by capacity.
By Peter Atwood (@Peterincan)
Day 20 of #30DayMapChallenge - Rural - Pays Ploërmel Mode d'occupation du Sol (MOS) entre 2004 -2013 Evolution de l’artificialisation des sols : + 918 hectares sur 9 ans. #scot #urbanisation #agriculture @SIRSfr @regionbretagne
By Ben (@benfriin)
#30DayMapChallenge day 4: traffic accidents as a hexagon map #opendata
By Nadiia (@NadiiaGorash)
South African power plants disaggregated by fuel type. No prizes for guessing where Jo'burg is. #30DayMapChallenge
By Ayrton Bourn (@AyrtonBourn)
#30DayMapChallenge Jour 15 : Names Ces endroits du monde qui sont aussi des prénoms (non-exhaustif) #khartis et #illustrator
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Elevation. Two ways. Hand drawn and highly generalized.
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge Day 1: Points Parcel Centroids within the Greater Philadelphia Region. Tools: @ArcGISPro
By Christopher Pollard (@CRVanPollard) in USA
We've got some new beautiful maps up on https://t.co/8f46GjZWtq for day 23, 24 and 25 for #30DayMapChallenge, covering the themes of "statistics", "population" and "climate" #datavisualisation #locationIntelligence #dataanalytics
By Emu Analytics (@emu_info)
Catch-up contribution for day 22 of the #30DayMapChallenge: Buildings by number of levels in my home district #Moabit, the island in the heart of #Berlin 🧡 #ggplot2 #rstats #OpenStreetMap #dataviz
By Cédric Scherer (@CedScherer) in Germany
#30DayMapChallenge Day 24: Statistics Another shape of the inequity and social violence: Percentage of women who are considered like Ninis (“ni estudian ni trabajan” in spanish) these who "neither study nor work.” Dato from @INE_Chile and @f_vivienda
By Juanizio Correa Parra (@Juanizio_C)
DAY18 - #globe #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge 14. Boundaries - Schengen Area, travelling without constraints - joined contributions by our @EU_Eurostat E4 Team - 16days2go - #GISCO
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
@INEGI_INFORMA @tjukanov 7. Red #30DayMapChallenge This map shows Guadalajara with all its blocks and streets in red colors. #Guadalajara #Streets #Map #QGIS
By D. (@daniel_isita)
@Syracuse1848 #30DayMapChallenge Day 10: Black and White (finally caught up!) Syracuse's City Streets with Interstate 81 dimmed in brightness since one day a large section of it will be removed. Data: https://t.co/xxFu6iC1M2 Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge day 14: a blank #map of europe // #blindekaart #cartemuette #blankmap // #boundaries // #GIS #madewithQGIS
By Michel Stuyts 🌍 (@michelstuyts)
Day 10 (black and white): This is one from my PhD thesis and shows the study site of a field experiment, where we studied the formation of alternate bars #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Producción en 2018 de #tomate o #jitomate #rojo por municipio en Toneladas, el principal #Navolato y #Culiacán #Sinaloa #30DayMapChallenge Red
By Carlos Cortés (@jccpmx)
@HSLdevcom Suosituimmat kaupunkipyöräreitit 10/2019. Reiteissä korostuu metroasemien (Ruoholahti, Lauttasaari ja Aalto-yliopisto) ja kaupunkipyöräasemien yhteys. Suosituin reitti Aalto-yliopisto (M), Korkeakouluaukio - Jämeräntaival, molempiin suuntiin. #30DayMapChallenge Day 24: Statistics
By Henri Blom (@greenpath_urban)
#30DayMapChallenge day 7: A building footprint map of @GemeenteEdegem in #red // Data source: #GRB by @info_vlaanderen
By Michel Stuyts 🌍 (@michelstuyts)
Day 1 ... er, 22 of the #30daymapchallenge: Built Environments! Threw this silliness together quickly except for the part where I *may* have done some building digitization. Used #OSM #qgis and briefly, https://t.co/200EVufsTr.
By Diane Fritz ❄️ 🚲 🐕 (@fritzGIS)
#30DayMapChallenge Day 25: Climate - Mangroves vs Hurricanes Mangroves have the ability to lessen the impact of flooding caused by hurricanes (reducing storm surges by 26-76%) BUT they are in an annual decline globally.
By Christopher Pollard (@CRVanPollard) in USA
Ireland’s population mapped as one point per person. 6,572,675 points in total. Starting it easy with the #30DayMapChallenge #Day1
By Heikki Vesanto (@HeikkiVesanto) in Ireland
Density of zipcodes in the US #30DayMapChallenge #rural using #gglot2 geom_hex() Code + data at https://t.co/dXfoml7uCT
By Sláinte Claus (@iamreddave)
#30DayMapChallenge Map_11 #elevation MDE @ICGCat 2x2 SegriàSud Post @iagua @smartwatermag elev. Evolución de la Latitud y Altitud del regadío en Europa https://t.co/vkDCgxvJFM The evolution of the latitude and elevation of irrigated areas in Europe 🇬🇧 https://t.co/jtVozoxpBG
By Ignasi Servià (@iservia) in Spain
Black & White Ternopil city #30DayMapChallenge Day 10: Black and white #monochrome Data: #OpenStreetMap contributors #qgis
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
Jokeri light rail line (plan). #30DayMapChallenge 3. Polygons. Yes, looks like a line but isn't. Code: https://t.co/sXYFBQENkS #ggplot #sf #rstats
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 4/30 Hexagons. Bee population in Amsterdam. By @stvno (obviously not an example of how to make legible maps, just bee nice) #kantelkaart #tiltedtopo ∠90°
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 5: Raster Part of our ongoing Tornado research. Annual Probabilities of Tornadoes based on historical events per square mile for a 69 year period in the United States. #gis #maps #map #geographyteacher #geography #cartography
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge nr. 7, "Red" en na gisteren was het best mogelijk om te variëren op die kaart. Maar dat is te makkelijk, bedenk maar eens wat anders.
By Bart Broex (@bbroex) in Netherlands
@tjukanov Skipped a day, but I’m working on #30DayMapChallenge day 4: hexagons. QGIS is currently rendering tree density in Europe and may take until tomorrow, so in the meantime, here’s airbnb listings in Vienna. data: https://t.co/P50epfOLSo
By Martin 🚡 (@MartinBangratz)
Points. #30DayMapChallenge
By Darafei Komяpa Praliaskouski (@komzpa)
#30DayMapChallenge #LASMaps Mapa de conflictos mineros, proyectos y empresas mineras en América Latina https://t.co/MFujRTpb20
By LASA-Latin American Studies Association (@LASACONGRESS)
Jour 21 du #30DayMapChallenge, aujourd'hui on part sur « environnement ». Je vous recycle ma carte des communes touchées par les arrêtés de restrictions après la catastrophe #lubrizol à Rouen. Et puis ses camemberts aussi. https://t.co/AxTpnumi3U
By Pierre Breteau (@pierrebrt)
Day 28 of the #30DayMapChallenge - Funny If you're looking for a good laugh then where better to head to than a Comedy Club? This map shows the locations of Comedy Clubs across Central London and it suggests that Leicester Square is the funniest place in the capital!
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
Hoy toca #elevación en el #30DayMapChallenge, y aprovechando que salí a entrenar esta mañana, hice un visor para mostrar la ruta y la altitud de la zona recorrida. Se puede ver con más detalle en https://t.co/4PAghreM9m
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 10: Black and White: Three Waters — B&W schematic of water, waste and storm reticulation under a small part of Auckland’s inner suburbs. Data Auckland Council.
By Hamish Campbell (@polemic)
#30DayMapChallenge Day 4. Raster 1 continuous dataset x 6 rainbow scheme variations = 6 inconsistent representations of precipitation across Kansas. Data from PRISM
By Travis White (@visualvariable) in USA
#30DayMapChallenge Elevation. More Blender experiments! A quick and dirty procedural contour generator.
By Peter Atwood (@Peterincan)
#30DayMapChallenge day 5, raster. Here are 6: raster principal components of snow cover duration anomaly for the Clutha Catchment, NZ. These show the most important spatial patterns from a 16 year time series of daily snow cover from MODIS. #remotesensing
By Todd Redpath (@toddrednz) in New Zealand
#30DayMapChallenge Day 4 (hexagons): Protected areas on the 3rd Rock from the Sun. Source: https://t.co/jOy65S0ty6 Tools - #rstats #dggridR
By Kristijan Bakaric (@kbakaric1)
Day 18 (globe): Not only the land around the Mediterranean Sea is considered a Mediterranean ecoregion, it can also be found in California, Chile, South Africa and Australia #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 20: Rural Rural population in Uruguay, by department. | Población rural en Uruguay, por departamento. Code 👇https://t.co/FGdPFa9kIU #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 11. Elevation A common layer computed from elevation data is aspect. Rendering aspect with a regular color ramp (as in the image below) is not the best way of doing it. Aspect is a cyclic variable, and a cyclic color ramp should be used
By Víctor Olaya (@volayaf)
day.13 my.tracks 2012-2015 #30DayMapChallenge
By carolina passos (@carolpos)
Estamos en #Elecciones10N así que para el blanco y negro del #30DayMapChallenge pinté este mapa: Porcentaje de votos del partido ganador de cada municipio en las Elecciones de Abril de 2019. Más negro = mayor porcentaje.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge #MapVember #RebelMapVember not really keeping up - terrain/elevation. Mt Tywnam and parts of the main range. Rendered in @qgis #qgis2threeJS, notes added in MacOS preview. Coloured using NSW imagery and ...all the things!
By Adam Steer, doctor of all the things! (@adamdsteer)
#30DayMapChallenge Day 10 - Black and White: Switched to Carto for a minimalist web map of Scotch whisky distilleries, sized by smokiness! Map here: https://t.co/8RlBCxeVKN Data here (U. of Edinburgh): https://t.co/zqVGtaZcFr
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge Day 1 #DiaDeMuertos Cemeteries in Mexico City #Jupyter #QGIS #Sketch
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 19: Urban Ya don't get much more urban than this! Chongqing, China (World's Largest City). Also home of the world's largest road intersection (area and ht) #gis #geography #geographyteacher #cartography #maps #map #urbanenvironment #China #landsat #landsat8
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge Day 4⃣ Hexagons: Quantile classification of an hexagonal grid in Dar es Salaam, Tanzania, according to the average date of creation of @openstreetmap nodes, made with @qgis. Extracted from a paper written for @foss4g 2018 available at https://t.co/ZD2jtSPtt0
By Marco Minghini (@MarcoMinghini) in Italy
@INEGI_INFORMA @tjukanov @datavizero 10. Black and White #30DayMapChallenge Percentage of women by municipality in 2019. Data from @CONAPO_mx #Women #Mexico #QGIS #MapPorn
By D. (@daniel_isita)
#30DayMapChallenge Day 15: Names #Berlin road network by name/suffix forming colorful networks 💛💚💜🧡💙 #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
#30DayMapChallenge Day 2⃣5⃣ Climate: Number of policies & measures implemented, adopted or planned in 2019 in EU Member States to reduce greenhouse gas emissions, reported under the EU Monitoring Mechanism Regulation. Source: @EUEnvironment (https://t.co/KnSma6fefh) Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 11: Elevation Digital Elevation Model of Thailand Made with #qgis Source: USGS SRTM #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #elevation
By Note Dherapat (@prospero021)
My commute in Dublin simulated by walking, bike, car, bus and the LUAS (tram) #30DayMapChallenge #Day12 #Movement
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge and today is yellow and an excuse to have another play with #Aerialod and some #usgs data.
By Sam J (@samwise_v) in United Kingdom
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx 12. Movement #30DayMapChallenge This is the route from my watch of my first marathon. It was the @MaratonLala in March 2019. #QGIS #MapPorn #Mexico #Torreon #runners
By D. (@daniel_isita)
Climate. Playing around with FMI open data. Monthly precipitation on selected sites in Finland (2018). Never really used the histogram chart option in QGIS before. Data: @meteorologit, @Tilastokeskus #30DayMapChallenge #climate #precipitation
By Faris Alsuhail (@AlsuhailFaris) in Finland
Ecorregions WWF of the World #30DayMapChallenge day 21 @ddiazescandon @WWF_LAC #TeamTrees
By Javier (@7Javier6)
#30DayMapChallenge @tjukanov day 24-statistics #dallol #Ethiopia #geothermal fields #Statistics most uninhabitable place on #Earth @googleearth visualization
By SRG (@Saint_GIS)
Day 8 #30DayMapChallenge #Green I Sabías que los humedales son territorios que representan un importante patrimonio ambiental y cultural para Colombia. En ellos se conserva el ecosistema sociocultural para las naciones y el mundo. Conócelos https://t.co/dsm0FP5G16
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge day 2: lines. Tree row patterns of four random towns in Finland. Data again from @Maanmittaus #OGCAPI beta: https://t.co/5ukCMj8JFh
By Teemu Saloriutta (@TeemuSaloriutta) in Finland
#30DayMapChallenge Day 26 - Hydrology: I labeled a fraction of the thousands of reefs that make up the Great Barrier Reef system off the Queensland, Australia coast. Names from Google, imagery is 4/10/2017 Landsat 8.
By Tim St. Onge (@TimStOnge) in USA
How would Norway look if all the buildings glowed in the dark? Based on 1000m raster of building mass from @kartverket #30DayMapChallenge Day 9: Yellow
By Jon Olav H. Eikenes (@jonolave)
Day 8 of the #30DayMapChallenge with the theme Green, and possibly one of my favourite maps (visually) so far. I've mapped the duration of property ownership for each parcel in in Nelson, NZ. #rspatial #stats
By Emma Vitz (@EmmaVitz) in New Zealand
🗺 No.6 Lake Kasumigaura (霞ケ浦) consists of several lakes, the total area of which is second-largest in Japan. There are some places where the water depth exceeds 5m. I tried 3D and interactive visualization with @plotlygraphs ✨ #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge Dia 13. Rutas (#Tracks) El día de líneas subí un mapa del sistema que abastece agua a la ZMCM, ahora subo la contraparte: las rutas de desalojo de las aguas negras y el excedente de lluvias lejos de la #CDMX. #RStatsES con datos de Geocomunes.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 16: Places Here’s a quick map of each of the places I’ve been in #Germany, along with the areas reachable within 100km from each 🇩🇪
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge day 26: sometimes @googlemaps is so wrong. Comparing map #resources. #toomanybuildings
By Michel Stuyts 🌍 (@michelstuyts)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 23. Population #30DayMapChallenge Estimated population by 2030 of each municipality, by quintile. Data from @CONAPO_mx #quintil #mexico #population #qgis
By D. (@daniel_isita)
Day 29 of #30DayMapChallenge: experimental. The year is 2050. Cartographers have seized power. Alaska and Hawaii have been jettisoned. Area boundaries are now compatible with hexbinning and counties scaled to population. City names are generated from Twitter streams. All is well.
By Jerry Shannon (@jerry_shannon) in USA
#30DayMapChallenge Day 05 - Raster Photo satellite de la #Corse Données @LivingAtlas
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Used #mapbox and #Photoshop to do a small map on property value in #Estonia. Tallinn is a pricey place to live, with prices at €1,752 per sq. meter of property for a older apartment, up to 5000 for new construction in the city centre! (Newstrail 2019).
By Carl Churchill (@Cchurchili)
@tjukanov #30DayMapChallenge Day 5: raster. I'm so bad with raster data and almost quit. So I just used @Maanmittaus basic map & dem to make a treasure map of my Island. There is a rumor,that long long time ago,pirates tried to steal a rich land owners treasure,but he hid it somewhere...🤫
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 24. Statistics. Finland is the promised land for summer cottages. Here are top 6 postal code areas with over 40 cottages/km2. I live in one of them (Kakskerta, 50 cottages/km2). Data: Paavo postal code areas from @Tilastokeskus. Made with QGIS Atlas tool.
By Sanna Jokela (@SannaJokela1)
Day 21: Environment @ABbiodiversity ‘s massive 2010 land cover inventory with a dash of Living Atlas terrain layers. #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
19 Urban São Paulo Metropolitan Area aerial view + urban + elevation #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 29 : Experimental - Reconstitution par un collègue des périmètres des bureaux de vote à partir de leur description par la préfecture du Nord @prefet59. @Place_Beauvau , la diffusion des périmètres ou des adresses par bureau est-elle envisagée ?
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge Dia 10. Blanco y Negro 🔳. Comparación de Imágenes aéreas historicas (ortofotomosaicos) de #Bogotá 1998-2017. Sector Biblioteca El Tintal. Con datos @CatastroBogota #IDECA Hágalo usted mismo (#DIY): Desde el portal #MapasBogota https://t.co/r6me1NbpTX
By Oscar Javier Espejo (@ojespejo)
#30DayMapChallenge Day 2 - Lines A map of my locality with only the linestrings rendered
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
Six years of movement. Logarithmic projection centred on home. #30DayMapChallenge - day 11: Movement
By Andrew Campbell (@ozy_man)
Day 4 of #30DayMapChallenge — Hexagons Density of bombs dropped on London at night during the Blitz (Oct 1940 to June 1941). 🔴 Less bombs 🔶 More bombs Tools: QGIS Data: Bomb Sight by University of Portsmouth, @openstreetmap
By Robin Hawkes (@robhawkes)
🗺 No.4 The protected areas of Daisetuzan national park 🗻 Color coding by area included in hex. Hex was created with uber’s h3! 🦉 Code: https://t.co/nWaXoMdk4K #30DayMapChallenge
By Uryu Shinya (@u_ribo)
I missed day 7 and day 8 of #30DayMapChallenge but today I try to pay my debts by combining it with day 9 (little bit lazy to make 3 maps). It's Wulingyuan, Heritage site where you can find a mountains looks like flying mountain's in Avatar movie.
By Александр Зуев (@Zuev34W)
Spending next few days promoting @OSGeo and #FOSS4G at @GIS_Expo, so this is my contribution for today’s #30DayMapChallenge 🌎
By Topi Tjukanov (@tjukanov) in Finland
Mi contribución para el #30DayMapChallenge. Día #1: Puntos con el 📦 {leaflet} #Rstats #datosdemiercoles
By Gráficos y Métricas (@gmbeisbol)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 22. Built Environment #30DayMapChallenge The different roads of North America. #qgis #roads #northamerica #mexico #maporn
By D. (@daniel_isita)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 17 (zones): some 820.000 Belgians live less than 20km away from the Doel nuclear power plant (not counting the Dutch to the north). Squares = 1x1km with pop > 500, Antwerp city center in lower right corner
By Maarten Lambrechts (@maartenzam)
@fenwaypark Day eight of the #30DayMapChallenge (green)... Breaking down the #MLB draft by the state every player was born since 2000. You'll notice one consistent factor. * Note: some older players don't have birth places in our DB
By Daren Willman (@darenw)
@IYIL2019 Día 20: Rural / #Nääjxkäm En la mayoría de las comunidades mixes la tenencia de la tierra es de tipo comunal, en varios casos con posesión de Títulos primordiales de la época colonial. #30daymapchallenge
By Colmix (@Colmixe)
🗺 No.3 Administration Area Changes in 1920 (before WWII) to 2019 (present) Japan's administrative district has historically repeated several large-scale mergers and dissolutions. Code: TBA Tools: R, ggplot2, sf, patchwork ⚡️#30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge I seem to be dipping in and out of this challenge, but anyway, today we have the theme: blue. I guess I've merged yesterdays raster theme in with this! Snowdonia National Park DEM with blue gradient. Boundary data from Natural Resources Wales and DEM from USGS
By Kate Amanda Booth (@Kate_GIS)
@openstreetmap @OSMcatala Day 20: #Rural. Zonas agrícolas. CORINE Land Cover 2018 (2.1 & 2.2). #30DayMapChallenge #QGIS #agriculture #spain
By Gerard M. Porras (@Gerardathletics)
OK here's take 2 for the #30DayMapChallenge day 21 environment this time wholly constructed in #QGIS.
By Ian Turton (@ijturton) in United Kingdom
Bicycle accidents in Helsinki, 2017. As POINTS! Of different COLOURS! #30DayMapChallenge #points Data: @HelsinkiKymp
By Faris Alsuhail (@AlsuhailFaris) in Finland
#30DayMapChallenge 24. Statistics Places in France where you can say "OK boomer" to everyone Made with #QGIS
By Romain Lx (@lacxrx)
Day22 #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Some parks in Bogota. #30DayMapChallenge #QGIS #Bogota #Colombia #Zones Day 17 (late)
By Felipe Lancheros 🐯 (@MiniTigri)
For day 2 (lines) of the #30DayMapChallenge I took a look at the top export destinations (by $) for Maine goods w/#rstats {sf} Gosh our stuff heads far & wide, but most of it goes to our Canuck neighbors. Code on https://t.co/vNG5NE2Afn + sourcehut/bitbucket/gitlab/gitugh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Veier og gater indikerer noe om det bygde miljøet. Turkise linjer heter enten gate, gata eller gaten. På dag 15 er temaet navn #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
Some lines that mean four letters to me: KIEZ¹. #30DayMapChallenge #Day2 lines: A map of my home area I created some time ago in #Python with #OSMnx by @gboeing. ¹alternatively: HOME, LIFE, LOVE. https://t.co/kRJ0jQXqQ4
By Cédric Scherer (@CedScherer) in Germany
#30DayMapChallenge 2nd Day - Lines This time I used my Google Timeline to extract all my trips and plot them. Google started saving my location in January 2018, so there’s no information before that. https://t.co/tfWRanaYW1 PS. No idea when I gave permission to save my info 🙄
By Irene de la Torre (@inari_ta)
Percentage chance of being able to find a free DublinBike at a station between 8 and 9 am #30DayMapChallenge #Day24 #Population Needs to be filtered for weekdays and controlled for rainy days, but still interesting.
By Heikki Vesanto (@HeikkiVesanto) in Ireland
Am I doing this right? Day 1: points (street trees) #30DayMapChallenge
By Keith Jenkins (@kgjenkins) in USA
#30DayMapChallenge Day 1 - Points Pedestrian Fatalities 2000-2018 Data: NZTA Disaggregated crash data
By Timmy (@gallicist)
Day 8: Green Today's map in our #30DayMapChallenge, is the map of changes to our followers in 2019 Thank you #USA.... And for those #Nepal, we apologize if we said anything that upset you!
By Tweepsmap (@tweepsmap)
I didn't want to spend a lot of time on the computer on a lovely fall day. But my watch helped me still make a "Line" map for the #30DayMapChallenge. The colors of the line have something to do with heart rate or effort. But they look fall leaves so I'm into that.
By Riley D. Champine (@rileydchampine)
Day 12 of #30DayMapChallenge - movement. An example of how fiddly it can be to make "simple" maps. This shows net migration to New Zealand between 2010 and 2019 but it's not complete. Read on for the tale of data wrangling and woe. Code: https://t.co/7Gj61dbtl3
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 14: Boundaries There are no boundaries on this map as it is my subtle reminder of how great it would be if there was an actual official NZ localities dataset. Maybe one day... Mostly blender GDAL and GIMP
By Pete King (@Generally_Geo)
I was on a short wellness vacation so here is Day6 to Day 9 of the #30DayMapChallenge with the same style - public transport and its stops in #Berlin 🚏🚌🚉 #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
Day 23 (population): Iranian cities by gender #30DayMapChallenge
By Positium (@positium) in Estonia
#30DayMapChallenge Dia 15. Nombres (Names). Nube de palabras (con un mapa de México) de las palabras mas utilizadas en los nombres de los municipios de México. Hay 394 municipios con nombres de santos; 123 de santas; 70 llevan Juan en el nombre; 65 el Santiago y 51, Pedro.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge 11. no simple elevation values- Mountain typology based on NUTS LVL3 2016, 2019 -info https://t.co/eE19Bnado1 -viz:https://t.co/0m0ZTTZNGs -data:https://t.co/3Wilx3PcdR -joined contributions by @EU_Eurostat E4-19days2go- Welcome2LUX4 #EUDataViz participants
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
Belated Day 3 Polygons - Cartogram changing the surface area of US state polygons to represent the number of people with over a million in investable assests. Data from @WSJ (https://t.co/ejYwImiCcC) #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Day 4 hexagons #30DayMapChallenge Not sure about this sightings data 😂 ...23 in close vicinity to the wildlife zoo & maritime museum, but I love turtles 🐢
By Kylie Wilson (@_kyliejane)
Places. Buildings are places! I've worked in all of these. LOD2 level 3D buldings, rendering with Blender/Cycles (sky texture didn't work in Eevee 😔). Data: @helsinki @Helsinki3D #30DayMapChallenge #b3d #blender #buildings #helsinki
By Faris Alsuhail (@AlsuhailFaris) in Finland
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh #Day11 #30DayMapChallenge: Elevation. Concerts of the North American leg of U2's 2001 "Elevation Tour". cc @U2
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 18: Globe - Coordinate Reference System - World Quartic Authalic #CRS #EPSG54022 #naturalearth #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
Today for #30DayMapChallenge - I've made a map to show zones with good restaurant coverage on @openstreetmap - Darker the shade, better the number. A total of 12,177 restaurants on OSM, compared to 19K on @ZomatoIN - this is a decent coverage
By Ramya Ragupathy (@ramya_ragupathy) in India
#30DayMapChallenge 11. Elevation For #winelovers and my playing field, elevation of the Northern Rhône wine region Made with #QGIS Data @CopernicusLand
By Romain Lx (@lacxrx)
#30DayMapChallenge day 9. Yellow. As the only right (cultural) capital in Finland, here are the places of culture near river Aura in @Turkukaupunki based on OSM and joined with building data from NLS-FI. Other possible yellow things considered: toilets😛. Made with QGIS with 💛.
By Sanna Jokela (@SannaJokela1)
Day 19 of #30DayMapChallenge – Urban: Auckland's Urban Routes and Motorways
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge 1: punkti. Vai tā ir zvaigžņotā debess? Nē, tās ir Rīgas gājēju pārbrauktuves.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
Day 5 of the #30DayMapChallenge (raster) gives me an opportunity to catch up and share this bad boy (created for #FOSS4G2019) again: the evolution of #cod gridded abundance over time. 🐡 @EMODnet
By Britt Lonneville (@BrittLonneville)
#7Red ... Cartograma Aseguramiento de Armas en México (Gun Control in Mexico) ... experimento de hace años, que no vio luz! #30DayMapChallenge #MathematicaWolfram
By Emmanuel (@Landa23)
Day 24 of The #30DayMapChallenge; statistics. Toyota is the most popular car brand in 263 out of 295 mainland municipalities in Finland. "Today. Tomorrow. Toyota" #Toyota
By Matti Kokkonen (@MattiJKokkonen)
Mexico’s Forests Day 8:Green #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Delimitación de la Col. Anzures y escuelas en la delegación Miguel Hidalgo #CDMX Day 14:Boundaries #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 13 - tracks wonderful train tracks of Oz. OSM data, #qgis.
By A. D. Mac (@AdiBop_) in United Kingdom
#30DayMapChallenge Day 20: From hyper-#rural to meta-urban: The blue points in the map show #urban areas in #Africa that emerged after 2000. Understanding Africa’s urban future, is also linked to rural areas today. 🌍 https://t.co/0ShJocIRzn
By SWAC OECD (@SWAC_OECD)
#30DayMapChallenge Day 5: Raster One of the main factors of the social segregation of our city: the land market. Estimated value of land (USD/m2) in #Santiago / Valor estimado del suelo en Santiago (USD/m2) Model (EBK) with data of @Inciticom
By Juanizio Correa Parra (@Juanizio_C)
#30daymapchallenge Day 19 (phew!) Urban I've tried to illustrate the urban decay of England and Wales by punching out the areas classified as urban and colouring the remainder with darker green being more rural
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
Día 26, reto 'hidrology' #30DayMapChallenge Sigo sin tiempo así que publico algo sencillo. 'España. Ríos, cauces artificiales y embalses.' Fuente: mapas del @IGNSpain .
By Pedro Suárez (@pedro_com_es)
18 Globe Exchange program of Brazilian architecture students #30DayMapChallenge
By carolina passos (@carolpos)
For day 22 / #builtenvironment of #30DayMapChallenge @AvipsaRoy mapped Average Annual Daily Bicyclists in @TempeArizona by bias correcting crowdsourced fitness data app. Dark green = more cyclists | Light blue = fewer cyclists
By INTERACT (@TeamInteractCA) in Canada
Día 23: Población / Jää'y Al igual que las otras lenguas de México, la lengua #mixe está en riesgo, si bien en algunas comunidades + que en otras. Este mapa muestra el % de población de +5 años que habla #mixe y señala las comunidades donde este % es el menor. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 21: Environment - Woodland land cover within the Cairngorm National Park 2000-2018 #woodland #opensource #copernicus #corinelandcover #cairngormnationalpark #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
Green. Ireland is green so here's where Irish people live in Finland 🍀 Big surprises all around. I should totally make a book out of all these maps and force my friends to buy them and profit. Data: @Tilastokeskus #ireland #eire #population #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris) in Finland
#30DayMapChallenge Dia 3. Polígonos. Polígonos de Voronoi de las Estaciones de #Ecobici coloreados de manera aleatoria. Los polígonos de Voronoi son como las "zonas de influencia" de un punto en particular. O las zonas de mayor cercanía. #Rstats con datos de @ecobici
By Juvenal (@JuvenalCamposF)
For those that haven't, give tessellation a try sometime. Day 4 - Hexagons - #30DayMapChallenge Major stream data from Nebraska DNR and because I was feeling wild, kilometers instead of miles.
By Marc Marean (@marcmarean)
Day eleven of the #30DayMapChallenge (elevation)... Breaking down the elevation of each #MLB stadium. #Coors
By Daren Willman (@darenw)
@ECMWF @CopernicusEU Day 29: Experimental. I've been playing with map projections 😀😀 Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats #rspatial #ggplot2 #sf #maps
By Javier Elío (@Elio_Javi)
#30DayMapChallenge Hexagons Average First Bloom Date Darker colors = earlier spring bloom Data is from National Phenology Network
By brady (@geo_brady)
#30DayMapChallenge day10 #blackandwhite Tweets map of #Juventus #Milan the concentration of tweets are on #SanSiro #meazza #stadium
By PJ #GISTonicker (@pj_go_2020)
🗺 No.7 FIRMS information was mapped from Earth Observation Data provided by @NASAEarthData. Shows the location and density of fires in Brazil 🇧🇷 observed in 2018. 🦉 Code: https://t.co/UADOypXNFv Thanks 📦 {ggpointdensity} by @LPMKremer :) #rspatial #30DayMapChallenge
By Uryu Shinya (@u_ribo)
@Tutuchan @OSM_FR @opendatasoft_fr #30DayMapChallenge with #rspatial 11/30. Elevation. How I use to fake elevation before #rayshader using {raster} hillShade and well chosen transparency. Elevation of Loire-atlantique 🗻, with higher water level 🌊 using {tmap}. #rstats
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 14: Boundaries There are not only physical but also social boundaries / No hay solo barreras fisicos, sino también sociales Boundaries between households of high and low incomes in #Santiago
By Juanizio Correa Parra (@Juanizio_C)
Day 24 of #30DayMapChallenge statistics, a new statistic to me Job Density. > 1 means more jobs than residents so there are a lot of commuters, < 1 either implies a lot of out commuting or unemployment,
By Ian Turton (@ijturton) in United Kingdom
We’ve seen many gorgeous LIDAR maps of rivers (e.g. by @geo_coe and @Carto_ALex) so with the #30DayMapChallenge theme being Hydrology we wanted to do something similar. Not a river but the tidal wetlands of the “Verdronken Land van Saeftinge” #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge day 3: polygons
By David Ng'ang'a (@DavidNg96191301)
Dia 3: Polígons. Divisió Catalunya amb diagrames de Voronoi a partir de les pistes d'atletisme homologades. Relacionat, deixo també un mapa d'isòcrones del TFG. Day 3: Polygons. Voronoi diagram based on the running tracks in Catalonia. Made in #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Day 7 of #30DayMapChallenge - Red #qgis #Rennes #opendata #mobilité @metropolerennes
By Ben (@benfriin)
Day 7 of the #30DayMapChallenge. For today's red theme, I mapped the points of all recorded fire incidents from @LondonFire between January 2009 to December 2012. Second time using geopandas to make a map and I can now work with two vector layers in python!
By The Spatial Data Manipulator (@GIS_Manipulator)
Día 6 Blue: Tasa de Envejecimiento en México. Coahuila con más jóvenes y CDMX con más personas adultas. #30DayMapChallenge #rstatsES #datosdemieRcoles #rstats #ggplot2 #CDMX #DataScientist #CDMX #Coahuila #Mexico https://t.co/dhf0lMBwfo
By Enrique Santibáñez Cortés (@EnriqeSc)
@ESRI makes it pretty simple to throw in data and run a quick analysis. Whilst I understand it isn't the most aesthetically pleasing, nevertheless. Day 3: Polygons for #30DayMapChallenge Clusters of cities that have been classified to be a part of the the #siliconprairie 💻🌾.
By Marc Marean (@marcmarean)
Day 17 of #30DayMapChallenge: zones. #Thiessen polygons (aka #Voronoi cells) for spatial #interpolation of temperatures in the Netherlands. Clear gradient from the North Sea coast to the inland in this season (early autumn).
By Hans van der Kwast (@hansakwast)
Day 25 of #30DayMapChallenge: Climate. Valais, Switzerland, during the Last Glacial Maximum. Interactive visualization: https://t.co/Jqbnadx8aS More background and additional scenes: https://t.co/NGra1KpeUz
By Ralph Straumann (@rastrau)
#30DayMapChallenge Day 29. Experimental It's game time, fellow geo-geeks! 😄🗺 How many random facts about countries do you know? Click Madagascar to see the first question. Which country is the final one? Let us know! Play 👉🏻https://t.co/Flruffe9Ye
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge: Day 3: Polygones Colonisation of America by Portugeses and Spanish
By Agnès Stienne (@odilon72)
A weekend trip to #Pittsburgh has set me back a few days on the #30DayMapChallenge, but provided lots of inspiration. A striking feature of the place is that they have SO MANY BRIDGES. Here's eleven of them around downtown. Count this as Day 22 – "Built Environment".
By Riley D. Champine (@rileydchampine)
4. Hexagons #30DayMapChallenge Search interest of the mexican telenovela *Rosa de Guadalupe* in Google Trends by state. #Maps #rstats #Mexico #RosadeGuadalupe
By D. (@daniel_isita)
#30DayMapChallenge Day 9. Yellow I had higher hopes for today's challenge given that Kansas is "The Sunflower State." But, uh, I guess there's not a lot out there? Data from https://t.co/eTwT9O3XZw
By Travis White (@visualvariable) in USA
#30DayMapChallenge – Points Urban Constellation of my home state, #wisconsin. Really satisfied with how well SRTM data works as *SPACE*.
By Dylan HoHoHoriarty (@DylanMoriarty)
#30DayMapChallenge Day 29. All. most. done. Experimental. During this challenge I have experimented a lot. A lot more than I thought. This was supposed to be posted on the day the hydrology challenge was acute. But I'll take the opportunity now. *
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Jour6 : Blue Quels sont les pays qui comptent le plus d'utilisateurs de Facebook (en juillet 2019) ? Source @statista_com
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Red [Planet]. Valles Marineris
By Peter Atwood (@Peterincan)
MY contribution to #30DayMapChallenge Day 23. 3D Map Model of Microbreweries in Ireland / 100,000 people and resultant 3D print.
By Shawn Day (@iridium)
#30DayMapChallenge – Lines All of New York's roads, arranged by length. This is a recreation of one of my all-time favorite's – @fitnr's NY Street Grid map (https://t.co/vKROjYsHu4). Been meaning to work out how to do this forever. Glad to finally have a good excuse todo so 🧙 ♀️
By Dylan HoHoHoriarty (@DylanMoriarty)
#30DayMapChallenge #NoNutNovember 😇 Level 1-3 health facilities in Kenya. Compared to population distribution per county
By dougie (@Meesterdoug)
#30DayMapChallenge hexagons. This is a plot of the bitcoin full nodes in the EU. Hexagonal heatmaps + extrusion from #deckgl. Data from @port8333
By indiaviz (@indiaviz)
100 years of tropical storm tracks. Data: https://t.co/xLYCA0nnU5 #30DayMapChallenge #GISDay #QGISDay
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Dia 7. Rojo 🖍. El sistema circulatorio de #Colombia 🛣. 🔴 Tipología de vías ⚪️ Centros poblados Con datos @igacColombia @DANE_Colombia @GobDigitalCO
By Oscar Javier Espejo (@ojespejo)
Cuartil 4 de municipios de la tasa de mortalidad acumulada por Diebetes Mellitus Tipo 2 en el período 2010-2015. (Hombres y mujeres de 45 años y más) #30DayMapChallenge @SantaellaJulio
By Oscar Juarez (@OJuarezFlores)
The #30DayMapChallenge theme for today is Globe and it just so happens we made a few. Here’s One Stop Map team member (and sponsored cyclcross rider) Veerle showing off the BalancePlanet globe (Want one? Check out https://t.co/yt5LOPjQCA). #lovemaps #cartography #globe #globes
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 3: "Air temperature in Estonia" Topic: 'Polygons'
By Anto Aasa (@antoaasa)
#30DayMapChallenge Day 12. Movement 🔀Daily work trips between the five largest cities of @ille_et_vilaine Dataset > @InseeFr // Made with #KeplerGL
By Boris Mericskay (@BorisMericskay)
Day-18 of #30DayMapChallenge is globe so here is a version of yesterday's climate zones in a more "globe" like projection. I found a vector version of the data as #QGIS is still giving me grief about reprojecting rasters to odd projections.
By Ian Turton (@ijturton) in United Kingdom
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise #30DayMapChallenge nr 13 (tracks): All my runs, 2015-1019, Annotated. Used my @Runkeeper data to visualise my running habits over the last 5 years https://t.co/Igy12HV0ac
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge day 12 - Movement. Using the Leaflet.Polyline.SnakeAnim plug-in to map the first 40 years of the London Underground. https://t.co/Xxe5Qu3xVk
By gmapsmania (@gmapsmania)
I probably can't make maps for all of #30DayMapChallenge, but here's one for day 2: Lines. City bike trips in Bergen in october 2019. Base map: OpenStreetMap, CARTO. Data: Bergen Bysykkel
By Halvard Vegum (@Havegum)
#30DayMapChallenge Day 7: Red Urban Built-up Areas of Bangkok and Thailand 2015 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo #Day13 #30DayMapChallenge: Tracks. Different paths of my morning bike commute to @UNColombia. cc @simun_unal
By DoctorJ (@garciaart3)
Day 6 - #30DayMapChallenge #Blue I Conoce las corrientes de agua que tiene Bogotá formadas por sus ríos, quebradas, canales, caños, chorros y drenajes 👉 https://t.co/ndodPtIP6F #LaIDEdeBogotá
By Catastro Bogotá (@CatastroBogota)
Are the stars out tonight? Where can we find designated #DarkSkyPlaces to avoid #LightPollution? Created using #Cascade @ArcGISStoryMaps #30DayMapChallenge #ENVIRONMENT @tjukanov https://t.co/2qfrV1Mt1n
By BC (@mildthing99)
#30DayMapChallenge Day 6 #Blue 🌏🌊 Rivers and Bodies of Water in #Colombia @qgis (Data from @ICDE_Colombia @IDEAMColombia ) #gischat #geography #rivers #ramsar
By Diego Pajarito G. (@diegopajarito)
#30DayMapChallenge Day 7: Red. Afon Glaslyn #b3d #fme
By Owen Powell (@owenjpowell)
#30DayMapChallenge elevation. NZ map using only Topo50 spot heights from @LINZLDS https://t.co/Y5fOo6JWsd
By Ian Harrison (@Kaihopu)
[EN] public transport quality categories / #accessibility by public transport #switzerland. https://t.co/IkCJsQJ9dy by @AREschweiz #30DayMapChallenge #builtenvironement #impact @openTdataCH
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge day 4 - hexagons. Bends the rules a bit -hexagon legend? Mixes of land capability for agriculture classes by parish. Areas of prime land (1-3.1), grassland (3.2-5.3), and rough grazing (6.1-7) converted to RGB values and mixed as a 3-band raster.
By Dave Miller (@raveydave76)
@IYIL2019 Día16:Lugares/Mää yyïkpääty ¿Dónde están los lugares que tienen el nombre "mixe" incorporado en el título del negocio? ¿Qué tipo de negocio es? En este mapa se observan los tres destinos principales de la migración #mixe en México: Oaxaca, la CDMX y el Bajío. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge day 24, Mujeres desaparecidas en Colombia según el observatorio de violencia de medicina legal desde 2016 hasta abril de 2019 #NoViolenciaAlaMujer @ddiazescandon
By Javier (@7Javier6)
@tjukanov #30DayMapChallenge day 8: Green Only – you guessed it – green metro lines in various cities. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge. Day 4: Hexagons Land use map of the Valdivia, Chile. Uso de suelo, Valdivia. Herramientas: QGIS, ArcGIS
By Humberto Iván (@humbertoivanrm)
That's Earth, that's us. That pale point of blue light. Day 1 of #30DayMapChallenge, Points. #AmIDoingThisRight
By John Kennedy (@micefearboggis)
For day 14 of #30DayMapChallenge boundaries, this is a map of the only border clearly visible from space, between North and South Korea. The change in light is unmissable.
By Ian Turton (@ijturton) in United Kingdom
Day 8 (green) of #30DayMapChallenge : On Day 4, we posted a map of Estonian outbound tourists. This is a closer look at where Estonian tourists have travelled in Europe. #map #tourism #mobiledata #europe #travel #datascience #dataviz https://t.co/cypqodGYb3
By Positium (@positium) in Estonia
First week of the #30DayMapChallenge done! Day 7 (red): share of bus users in home-work commuting in Tartu, Estonia. #transport #urbanplanning #maps #dataviz #datascience #publictransport
By Positium (@positium) in Estonia
Late Day 01 - Points attempt 2. Transit stops in 3 cities. made in #rstats Code: https://t.co/fHpzbJPd4o #30DayMapChallenge
By Adam Gruer (@AdamGruer)
Day 10: Black and white Whenever I experiment or start a map without a clear purpose there’s a good chance it will be of somewhere in the Canadian Arctic. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 19: Urban. Based on open data, travel times (isochrones) and some layer blending in QGIS I made this 'Blue Zone' map. It's still work in progress.
By Marcel Dekker (@marcel__dekker)
That's some of the major chokepoints of Bangalore traffic 🚦- pulsing non-stop for #30DayMapChallenge - @silk_board @MarathahalliBrg
By Ramya Ragupathy (@ramya_ragupathy) in India
#30DayMapChallenge Day 12: movement Meteorological radar data over Sao Paulo and a sample of car accidents, february 26, 2018
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
My inspiration was environment, but I'll actually count this as Day 8 - "green" #30DayMapChallenge #QGIS
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
Day 3 of #30DayMapChallenge Mapping land value in São Paulo, more red=more expensive
By carolina passos (@carolpos)
#30DayMapChallenge Day 17: Zones Suppose you wanted to build something in Germany that is at least 1km away from where people live, the coloured areas are a no. Gridded data from the 2011 #Zensus csv-files at https://t.co/cZ83Z9WBXx WMS background from BKG, made with QGIS
By wahlatlas.net (@wahlatlas)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal @Foursquare #Day17 #30DayMapChallenge: Zones. A special one today, voronoi partition of Bogotá by the nearest staring point of tomorrow's protest marches. #21N #LaDignidadSeMueve
By DoctorJ (@garciaart3)
#30DayMapChallenge 20: lauki. Ja katrs novads pārvērstos par lauku, ko tur visbiežāk audzē, tik lielu, cik vidēji piesaka, mums būtu 432 ha zāles un 58 ha kviešu.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge 6. Blue Water
By John O'Leary (@OLjohnel)
#30DayMapChallenge Day 11 #Elevation 🗻 Level curves in Mexico City [2,300- 3,800] #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 29 - Experimental. It had to be one of the biggest experiments so here is the large Hadron collider rendered above ground
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
Dublin population by nationality #30DayMapChallenge #Day23 #Population
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge 1. Points Past 30 years of earthquakes in & around Aotearoa New Zealand. Brighter means a higher-magnitude earthquake. Kermadec-Tonga trench in NE. Point data from @USGS; island shapes copyright @openstreetmap contributors; made with @qgis #mapmaker #pacific
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
Day 25: Climate #30DayMapChallenge Köppen-Geiger Climate Classification in Google Earth. Data: https://t.co/ZBmqqg1KmX
By Leo (@hendrikxleo)
Day 11: Elevation. Probably the highest tree in forests managed by Latvia's State Forests – spruce 44.3 m (according to LIDAR data). Location: Tērvete forest #LIDAR #30DayMapChallenge #lvmgeo
By LVM GEO (@lvmgeo)
Not quite to what I would like with today's #30DayMapChallenge (Blue), but this kind of works. It's the Chicago @Cubs historical winning percentage by city. I kind of like it better as a dot plot. Made with @Retrosheet data through #rstats and @qgis.
By Jerry Shannon (@jerry_shannon) in USA
La contrastante expansión de los grandes centros urbanos (a través de luces nocturnas) y la dispersión de las poblaciones rurales en México... #30DayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge 8. Green 3D landscape from height map and satellite image of the Ijen volcano, which has a one-kilometre-wide green coloured acidic crater lake. Done with #blender using height map from https://t.co/Mbsrscekqh and satellite image from https://t.co/3RWxNXHASk
By Karim Douïeb (@karim_douieb)
Day 1 (points) of the #30DayMapChallenge. This map shows the size and construction year of all reservoirs in the Segura catchment (SE Spain), where I do most of my research.
By Joris Eekhout (@JorisEekhout)
Day 11/12: Movement and tracks. Routes taken by forestry trucks delivering to our clients (00 - 24 h, one sunny August day) #GPS #RoadNetwork #30DayMapChallenge #lvmgeo
By LVM GEO (@lvmgeo)
#30DayMapChallenge Day 27: Resources. Busy attending another excellent @longitude_space event tonight so no time for a new map. Instead I have just done a colour version of my Day 10 submission looking at mines and quarries in #Snowdonia
By Sam J (@samwise_v) in United Kingdom
Day 6: Blue Rivers of Wales based on the @OrdnanceSurvey OpenRivers dataset. Workings & data: https://t.co/uUuRpOfoHx #30DayMapChallenge
By Jo Wood (@jwoLondon)
Day 19: Urban Beneath us lies a parallel network of urban centres. The places in which we congregate after death. Every graveyard, cemetery and crematorium in the UK; points sized by land area. Workings & data: https://t.co/yG6wU0SciI #30DayMapChallenge
By Jo Wood (@jwoLondon)
Hexagons. #30DayMapChallenge
By Darafei Komяpa Praliaskouski (@komzpa)
Temperatura con respecto a la media máxima registrada en 2019 Day 25: Climate #30DayMapChallenge #lovepredictinglocations #BigData #México
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Map#3 a conceptual decolonized map of @CityofVancouver. Shore and streams are theoretical based on current evidence. I lack permission and authority to put indigenous names on the map, but that was an idea. Some colonial edits to landscape may still be apparent
By Aaron Licker (@LGeospatial)
#30DayMapChallenge Day 6: Blue. I thought of the ocean and a world view of cyclones. So, here's a map I call Cyclones in Spilhaus
By Craig Williams (@williamscraigm)
Day Yellow and my first take on #30DayMapChallenge with my fav topic, citybikes. Many thanks @HSLdevcom for opening the OD data! Arcs with lowest number of trips are not visible, but it still looks a bit messy, though
By Arttu Kosonen (@datarttu)
#30daymapchallenge Day 12 - Movement Golden Eagles tracking movement with #Plotly Python. Spending Winter Near Mexico and migrating Summer to Canada. Data: Movebank Data Repository
By Abdishakur (@shakasom)
Day 1 of the #30DayMapChallenge. Points was the map...so we went with some simple points of airports visited in October. #IMNOS
By Patrick Nelson (@pnelson917) in USA
#day3 polígonos... Desviaciones a un modelo logaritmico de homicidios a nivel municipal... #30DayMapChallenge
By Irving MA (@moaimx)
#30daymapchallenge 25 - climate koppen-geiger climate classification showing another 3 different global projections in #tableau. #alteryx used for reprojections. #nomorewgs84 ▶️https://t.co/i0IyzOc4SN
By A. D. Mac (@AdiBop_) in United Kingdom
#30DayMapChallenge Day 1⃣1⃣ Elevation: This is why people love Italy 🇮🇹 you can ski in the mountains & sunbathe in the beach, visit volcanoes & have fun in the country side (not to mention art & food)! The @qgis map shows a 75m DTM available as a WMS from https://t.co/vXSNxCIPRw
By Marco Minghini (@MarcoMinghini) in Italy
Day 17 of #30DayMapChallenge is zones, so I've gone back to one of the big maps I used to look at in geography lessons instead of learning about glaciated valleys (again).
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Day 5⃣ Raster: A @qgis map showing the city centre of Rome in the Global Human Settlement Layer (GHSL-BUILT, resolution: 30m), highlighting built-up areas. This is a great dataset created by the 🇪🇺 @EU_ScienceHub, find out more at https://t.co/JJ5alDr12r!
By Marco Minghini (@MarcoMinghini) in Italy
day 1 (points) queens community district 7 noise complaints throughout the day #OpenData #30DayMapChallenge
By Zhi He (@zhigus)
#30DayMapChallenge 20: Rural Another GIF #map of @USGSLandCover in #Delaware. Sussex County is mostly rural but has been growing steadily. I did some calcs of LC and got an ratio of rural cells in the raster for each year. Still quite rural but (literally) losing ground..
By Philip Pierdomenico (@PhilPierdo) in USA
Day08 - #green Three map of Milan #milan #30DayMapChallenge @tjukanov #gistips #cityplanner #geospatial #qgis #postgis #leafletjs #wordpress #gischat #geography #cartography #dataviz #gistipster
By PJ #GISTonicker (@pj_go_2020)
Ivano-Frankivsk. City center pedestrian zone boundaries #30DayMapChallenge Day 14: Boundaries #OpenStreetMap contributors #qgis
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
#30DayMapChallenge Day 7: Red. Somewhere in London.
By Zlata Popelnuh (@popelnuhh)
Day 18: Globe #30DayMapChallenge I like to play around with map projections in #Qgis https://t.co/qZYtrPcjnW Data: Natural Earth Admin 0 countries
By Leo (@hendrikxleo)
Day 25 of #30DayMapChallenge – Climate: New Zealand's Mean Annual Solar Radiation
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 6 - Blue A simple map of building footprints in Central Gothenburg.
By Abdishakur (@shakasom)
#30DayMapChallenge Day 1: each point represents 10 people by their highest level of education > Metropolitan Region of São Paulo, Brazil #dotmap #gis @PNUDBrasil @ibgecomunica datasets
By carolina passos (@carolpos)
Retweet @ CopernicusLand: RT hireuter: #30DayMapChallenge 21. Environment- #CORINE Land Cover from the EUEnvironment -upper classifications with coastal water excl.(left), 2018 and full classifications(right), 2000 -thx2 CopernicusEU data: …
By eoservices (@eo_services)
3. Polygons #30DayMapChallenge Average years of schooling by state in Mexico (year 2015). Strong differences between north and south. Source: INEGI #QGIS #Mexico #Education #Map
By D. (@daniel_isita)
4. Hexagon #30DayMapChallenge Hexagon grid showing the density of earthquakes all over the Philippines from October 1-31, 2019. Notice the dense earthquake swarm in Cotobato region (red). #Mindanao #MindanaoQuake #gischat #geography #cartography #dataviz https://t.co/kC14GHaTTg
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
Day 20: Rural #30DayMapChallenge Nobody lives here The Netherlands edition. This map is filled with 4101 1 km2 tiles where nobody lives. Data: Basisregistratie Adressen en Gebouwen (BAG), Provincie grenzen 2019
By Leo (@hendrikxleo)
https://t.co/g1zXN9PdXw #30DayMapChallenge #Day7
By Adebayo Yusuf Ishola (@bayoishola20) in Nigeria
Busy night at the Baltic Sea. Vessel position messages received by the Finnish AIS-stations during last night turned into lines #30DayMapChallenge
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge Day 22: Build Environment New York New York Two maps of New York buildings using two different open sources (@bingmaps and @NYCDoITT)
By Dan Cookson (@danc00ks0n)
Day 15 Names - Half way point in the #30DayMapChallenge and I think that we've earned a pint. How about visiting one of the 10 most popular pub names in Great Britain? Data from @DataGovUK
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Día 14. Boundaries (Límites). Para este dia, les presento un hilo con municipios de México conformados por más de un sólo polígono (es decir, que tienen territorios enclaves). Municipio 1. Tlalnepantla de Baz, formado por Tlalnepantla del Este y T. oeste
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge 10: B&W. Snow depth yesterday at weather stations in Finland https://t.co/EC30aMsItz Code: https://t.co/i4rBDDnjSb The bigger the circle, the more snow. Was lazy and used data via https://t.co/Fam2x9LlyP but glad to see there's #fmi2 ! @rOpenGov #geofi #RStats
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 25. Climate🥵🥶 For the climate day i map extreme temperature data from the @CREDUCL 2014-2019 42 countries >5Mio people got affected >10.000 people dead #maps #rstats #ggplot #eu #climate #FridaysForFuture #temperature #Heatwave #sdg13 #SDGs #ClimateChange
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 8: GREEN Spring rains in the Prairie mean lush grazing for cattle! Cottonwood Valley, Kansas Landsat 8 Bands 4,3,2. Lush new tallgrass growth compared with cropland on the valley floor. #gis #geographyteacher #geography #cartography #map #maps #landsat
By MyPhysicalWorld (@my_physical) in USA
Airport structures for #30DayMapChallenge on built-environment theme 1/2
By Ramya Ragupathy (@ramya_ragupathy) in India
Jour 26 du #30DayMapChallenge et après une longue pause me revoilà pour l'« hydrologie ». Je vous propose donc cette carte des fleuves (avec leurs affluents principaux), et les niveaux de bathymétrie. ET OUI, EN VERT, PARCE QUE POURQUOI PAS.
By Pierre Breteau (@pierrebrt)
Day 15 of #30DayMapChallenge: text All hills of Canterbury, New Zealand. One can clearly see the Canterbury plains (without hills). Some towns added for reference in red. LINZ data + NZ Gazeteer https://t.co/aMrrMB5W4O #rstats Code: https://t.co/NBd3bDAmbq
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Día15:Nombres/#Xëëw Muchos de los topónimos de las localidades de #Oaxaca provienen de tres #lenguasindígenas: náhuatl, mixteco y zapoteco.En estas lenguas,los topónimos reflejan elementos sobresalientes del paisaje oaxaqueño: montañas, ríos y valles. #30daymapchallenge @IYIL2019
By Colmix (@Colmixe)
#30DayMapChallenge 24: statistika. Skatoties kartes, Latvijā izskatās baigi daudz autoceļu salīdzinājumā ar kaimiņvalstīm. Re, kā 58443 km sakrīt pa novadiem.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge Day 10: Black & White Population density of Bangkok and Thailand 2015 Made with #qgis Source: GHS-pop #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
Day 30 of #30DayMapChallenge: home My homes during the last 25 years: Valdivia (Chile), Palmerston North (NZ), Hobart (Australia) & Christchurch (NZ). Not to scale. @openstreetmap data + #Rstats. Code: https://t.co/fewmEnuGE8
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 4: Hexagons. Public University centers that offer undergraduate degrees in Uruguay. Post and code: https://t.co/rAUbHdcuN5 #rstats #leaflet
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge #QGIS Map_10 Black & White. #Catalunya in B/W by codimuni. Today we're 🤔🤔🤔
By Ignasi Servià (@iservia) in Spain
Terminó el #30DayMapChallenge, y me faltaron algunos para tener los 30, pero creo que logré muchos. Acá recopilación. Lo bonito es que todos son reproducibles desde mi repositorio https://t.co/G0i4qIEfDY #Rstats #RStatsEs #DatosDeMiercoles Del último al primero: Day 30. Home
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
17 Zones Urban and Rural zones in Brazil over the time #30DayMapChallenge
By carolina passos (@carolpos)
Day 4 hexagons #30DayMapChallenge Romania Presidential Elections 2019, hexagonal grid over total valid votes cartogram. 🙂 Interactive map: https://t.co/0csK4S1QxL Data: https://t.co/nEdI3B0zlt, https://t.co/dMXnUWnmKY #elections #map #D3 #QGIS #alegeriprezidențiale2019
By MapTheClouds (@maptheclouds)
Day 29 of #30DayMapChallenge ~ * Experimental * ~. Here are all the counties that harvested turnips in 2017… in the shape of a turnip (???). [good time to note that none of these maps I’ve made for the challenge are employer-sanctioned, please do not fire me]
By ಠ_ಠ (@DeniseDSLu)
Day 30 of the #30DayMapChallenge : Home…The home neighborhood I attempt to keep complete and up to date in @OpenStreetMap and 30 days complete! #IMNOS
By Patrick Nelson (@pnelson917) in USA
Day 8 of #30DayMapChallenge: green. Parks in #Christchurch, New Zealand. Left: park polygons, Right: tessellation of polygons centroids (catchment) while colour is log10(park area), darker = larger. @openstreetmap data + shapefile. #Rstats Code: https://t.co/Fz9Z2D2K9D
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Ķeksīša pēc, jo vairs nav vēlēšanās redzēt datoru #30DayMapChallenge
By Emīls Mortuļevs (@57x025 / emil) in Latvia
#30DayMapChallenge 14. Boundaries- The 4 Corners, USA When I think of boundaries I always picture this place and how comical boundaries can sometimes be. Surrounded on all sides by desert with a man-made designation of where 4 state lines come to a perfect point.Makes one think.
By Shannon Gonzales (@yavannie24)
Day 2 - Lines . Triptych of inner city rail and tram networks. Made in #rstats . Code: https://t.co/0qmS8vSDEg #30DayMapChallenge
By Adam Gruer (@AdamGruer)
#30DayMapChallenge Day 11 - Elevation Lidar DSM visualized with #Aerialod. Data: DefraData UK
By Abdishakur (@shakasom)
#30DayMapChallenge Day 22 - Built Environment: Downtown Chicago buildings by year built. Footprints from City of Chicago, wavy lines for Lake Michigan courtesy of https://t.co/UeCAPzN5Tq
By Tim St. Onge (@TimStOnge) in USA
Day 18: Globe Tried to make a hollow globe. Strained my eyes AND my brain! #30DayMapChallenge #ArcGISPro #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge ¿Dónde se encuentran ubicados los museos en México?
By Data Cívica (@datacivica) in Mexico
Day 9 - Yellow: Infrastructure in Brazil (roads, railways, ports and airports) #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 24: Statistics. Night time light emissions in Helsinki region in May 2014 as seen by @NOAASatellites Data from the #DECUMANUS project via @HRInfoshare Code: https://t.co/xAEoZYBOSG #RStats #sf #ggplot
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 29. Experimental Misanthropic anticartogram of European population density Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 10 - Black Map showing entries for the Globe At Night campaign where scientists were asked to measure their sky night brightness. The position of the dots doesn't mean that those areas are the best to see the stars 😉
By Irene de la Torre (@inari_ta)
Día 29: Experimental / Tanï'ijxy ¿Dónde se ubicaría el sitio que fuera hipotéticamente accesible (en línea recta) a todas las comunidades mixes? El centro geográfico del territorio mixe está entre los límites de Cotzocón, Chimaltepec y Malacatepec. #30daymapchallenge
By Colmix (@Colmixe)
https://t.co/imL8tSG0wi #30DayMapChallenge #Day4 . Glad I made it. Haha! PS: First observation would be the rather sparse data available on the subject. Definitely more denser shops in reality within 3km.
By Adebayo Yusuf Ishola (@bayoishola20) in Nigeria
Polygons. Percentage of supercharged cars per municipality in Finland. So much rad! Data: @TraficomFinland, @Tilastokeskus, tools: @qgis, @rstudio, @GIMP_Official, @inkscape #30DayMapChallenge #rad
By Faris Alsuhail (@AlsuhailFaris) in Finland
#30DayMapChallenge Day 6: Addresses in Estonia where the name contains "blue" (0.3% of total) topic: 'blue'
By Anto Aasa (@antoaasa)
#30DayMapChallenge Dia 27. Recursos (Resources). El agua es un recurso vital para la ciudad, y el subsuelo es fuente de más de la mitad de este recurso para la #CDMX. En este mapa vemos como esta ciudad y su Zona Metropolitana ya se están acabando los acuíferos circundantes.
By Juvenal (@JuvenalCamposF)
¿Cuántas personas con VIH reciben tratamiento? En mi #30DayMapChallenge de hoy les traigo este interesante dato. En 2018, a nivel mundial 37.9m de personas viven con VIH, 23.3m reciben tratamiento, 62% toman retrovirales. México está sobre la media, 70% recibe tratamiento. Adeus
By Frida Celis (@frida_celis)
I lived in Minnesota for 12 years and have lots of good memories of Lake Superior's north shore. For day 26 of the #30DayMapChallenge (hydrology), here's a map of the lake with the terrain inverted (depth turned to height). Map in @qgis.
By Jerry Shannon (@jerry_shannon) in USA
#30DayMapChallenge 4. Hexagons Since 2014, over 5,000 dead hedgehogs were seen and added to the database of @waarneming . On this map you'll find the deadliest places in The Netherlands. Interactive version 👇🏻https://t.co/oUv8t43NLo
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge Day 11 #elevation. False colour near infrared aerial photograph of downtown #Rotterdam draped over 0.5 m #LIDAR DSM (AHN3). #opendata #WCS and #WMTS through @PDOK_online plugin in #QGIS and visualisation with QGIS 3D view. The red colours indicate urban green.
By Hans van der Kwast (@hansakwast)
for day 4 of #30DayMapChallenge a quick hex map of GB pubs, made using #GeoTools and rendered in #QGIS.
By Ian Turton (@ijturton) in United Kingdom
Population. Revisiting one of old research themes from my urban research days: single households in Helsinki. #30DayMapChallenge #aluesarjat #yksinasuminen #helsinki #asuminen #väestö #population
By Faris Alsuhail (@AlsuhailFaris) in Finland
Nivel de urbanización #CDMX y alrededores. Day 22: Built Environment #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Day 6: Blue #30DayMapChallenge Bathymetric contours in the Gulf of Maine. Data: US Bathymetric Contours (NOAA), Natural Earth Admin 0 – Countries.
By Leo (@hendrikxleo)
#30DayMapChallenge Day 25 - Climate CO2 emissions are driving climate change. A car emits on average 4.6 metric tonnes per year. This map renders GB as total emissions per postcode district annually based on car ownership. The numbers scare the life out of me.
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
#30DayMapChallenge day 19: urban https://t.co/Y1ncfQzTSh Centre of Tongeren 1849 compared with the buildings of today.
By Vicky Verscheijden (@gis3700)
[EN] Zone plans for emergency planning (polygons) in the vicinity of #nuclear #facilities zones 1 and 2 . #Population in person/ha (red- orange squares) https://t.co/yLiEgeXwJu by @ENSI_CH @StatSchweiz #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge 19 | Urban Travel speeds in Greater London (movement data from @UberOpenSource, with some #rstats and #rspatial to clean it up)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge 2. Lines Here are updated maps of countries that send and receive #remittance (zooming into the least developed countries) based on the latest available @worldbankdata #dataviz #data #maps #LDC #FinancialInclusion #ggplot #rstats
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge #Suriname has one of the worlds largest reservoirs. Local Maroons, descended from escaped slaves, work today with the government and NGOs to steward nearby forests. Many trees weren't cut when the lake was filled, and so are still standing on the bottom today.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 26.diena, hidroloģija. Latvija ir bagāta ar krāsām. Zilo ezeru zeme, bet vai tiešām?
By Kristīne (@kriksine) in Latvia
#30DayMapChallenge day 30, "Home." Plotted my home state of PA using #rayshader + #rstats, with my hometown labeled. Combined SRTM elevation data with the USGS National Hydrography Dataset (using fasterize + raster + rgdal + sf) for water outlines. Code: https://t.co/8qiM8MzMv8
By Tyler Morgan-Wall (@tylermorganwall) in USA
@f_l_o_u_r_i_s_h @Stad_Antwerpen #30DayMapChallenge nr 10 (black and white): I used @hnshck's great Figuregrounder to make these building maps https://t.co/mCk5RgLjp3 So simple, so nice
By Maarten Lambrechts (@maartenzam)
På dag 8 er temaet grønt. De grønne landene i kartet har grønne pass #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 18 - globe Earthquakes of the Americas on an azimuth orthographic projection. Needed @mapsOverlord tutorial to get back into #tableau & #mapbox. #qgis to create the custom projection (using @sdbernard YT tutorial) 🌎https://t.co/Lf1c4RJ87J
By A. D. Mac (@AdiBop_) in United Kingdom
For the rural theme for today's #30DayMapChallenge, I developed a #shiny application for #rstats using dollar store data. Pretty much every small town in Iowa has had a Dollar General for over a decade, but Family Dollar is a new addition. Try the app at: https://t.co/8aPPaxmtzm
By Jerry Shannon (@jerry_shannon) in USA
Since I live in a loony state I charted 2018 Maine loon population counts for today's #30DayMapChallenge in #rstats {sf} using data from the @MaineAudubon society (I told ya we're a pretty loony state). Code (as usual): https://t.co/NJF4xfPPxW + all the social coding sites
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge 10. Black&white Today I visualised 10 years of urbanisation in #Brazil🇧🇷. The urban footprint measures the expansion of a city in the territory. data: R package geobr #dataviz #maps #ggplot #rstats #urban #SãoPaulo #RiodeJaneiro #Brasília #Belem #SDG11
By Olga Kononykhina (@bettermeasured)
Day 19 theme of the #30DayMapChallenge is Urban. I have done a quick render of Birmingham to show the new Index of Multiple Deprivation. Put together in #qgis and a bit of #b3d, with data clipped using @OrdnanceSurvey #zoomstack buildings.
By Sam J (@samwise_v) in United Kingdom
#30DayMapChallenge 8. Green = Wales Wales National Landscape Character Areas. For a description of each area, highlighting the physical and human geography of each 🤓, see https://t.co/4qPuDWSORD Source: @NatResWales and @OrdnanceSurvey Terrain 50
By Helen Cooper (@HelenOfStow)
@tjukanov #30DayMapChallenge Day 29-Experimental @openstreetmap #Data as of 2019-11-26T21:18:03Z Water bodies for #TamilNadu State replaced with bounding box and random color assigned using #fme @SafeSoftware visualized @googleearth
By SRG (@Saint_GIS)
#30DayMapChallenge Day 28: 🤣 You can make a map of Kansas with a small tear to the corner of an 11x17 sheet of paper. Happy Thanksgiving 🦃
By Craig Williams (@williamscraigm)
#30DayMapChallenge: Day 5: Raster Peuples et ressources du Xinjiang
By Agnès Stienne (@odilon72)
#30DayMapChallenge Day 27: Resources - Nuclear Power Stations Tools:@ArcGISPro and Photoshop Nuclear power produces HUGE amounts of energy resources from small amounts of uranium and plutonium but it’s waste is radioactive and can effect local marine life from wastewater.
By Christopher Pollard (@CRVanPollard) in USA
Se me fue el tiempo con temas secundarios y el mapa se quedó a medias, pero ya prefiero ir pasando al siguiente. Para el globo del día 18 del #30DayMapChallenge. Especies de mamíferos en peligro. Mapa del mundo de @EU_Eurostat y datos del @BancoMundial.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 24 #Statistics Municipios más pobres de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 14. Boundaries. I tried to test how to make a nice world map with boundaries ==>So here is a world without boundaries. Also noticed that QGIS has "some" issues with odd projections. Data: natural earth countries, projection: World Equidistant Conic
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 1 (points): Locations of 1426 volcanoes in approximately the last 10,000 years Tools - #rstats
By Kristijan Bakaric (@kbakaric1)
#30daymapchallenge the #globe in Robinson CRS with 400 km hexed countries and capitals.
By GEOLYTIX (@Geolytix)
#30DayMapChallenge Day 1 - Points (even though it's day 17) Active and expired traffic lights in Amsterdam. Data from: https://t.co/7ss448OO21 and made using QGis.
By lhubrechsen (@lhubrechsen)
Day 13 of #30DayMapChallenge - Tracks Road section - urban or otherwise #road #morbihan #urban #qgis @IGNFrance @MorbihanTourism @Qgis_Bzh
By Ben (@benfriin)
#30DayMapChallenge Day 12 - Movement From the archive of #datosdemiercoles Fires registered in the Amazon during July. Interactive map + code: https://t.co/SrUzHK23Pl #rstats #rstatsES
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge 2. Lines: All streams in Estonia.
By Evelyn Uuemaa (@evelynuuemaa / Evelyn) in Estonia
#30DayMapChallenge 1. Points. I chose those points that are meaningful to me. I'm really doing this! Took me 15 min to do the map with QGIS and 15 min to figure out suitable size for Twitter😅. Hope I'm set for the whole month challenge🤪The game is on @tjukanov.
By Sanna Jokela (@SannaJokela1)
Late entry for @tjukanov's #30DayMapChallenge day 2: lines Rivers of London (if they were lines of uniform width)
By Martin 🚡 (@MartinBangratz)
@ptrmadurai @TRBRajaa @EzhilarasanCvmp @KanimozhiDMK @ChennaiRains @dhanyarajendran @SPVelumanicbe @CMOTamilNadu @Devimagan @mahajournalist My 4th Map for #30DayMapChallenge shows Earthquakes between 2000 and now for India and its neighbourhood (mag > 2.5) Each Hexagon shows Earthquake incident density in first map (in 3D) and average magnitude in the second map Data from @USGS
By Raj Bhagat Palanichamy (@rajbhagatt)
#30DayMapChallenge Day 1: Points (I got some catchin' up to do! LiDAR (point cloud) Hocking Hills Ohio! #gis #maps #map #geography #geographyteacher
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge Touristic flows in the Island of Sardinia between ports&airports and main touristic locations. Made in #rstats wit #stplanr, #tmap and #sf Data source: @openras
By Andria Tzedda (@Andria_Tzedda)
Tras 26 semanas de operación de la Unidad Guardián, se ha reducido en un 33.6 % los robos a negocio. 🚨🚔👮🏻👮 ♀🚗 #30DayMapChallenge
By Policía de Guadalupe (@ssp_guadalupe)
Hadn't figured out how to do these ridgeplot elevation maps yet, so used this challenge as an excuse. Probably did more work than I needed to--manually relocating sampling points based on elevation and then merging to lines. Result has an almost oblique effect. #30DayMapChallenge
By Jerry Shannon (@jerry_shannon) in USA
#30DayMapChallenge Day 22: Built Environment. Buildings of Buffalo. This ends up being the opposite of the street grid but since they a related you see similar patterns. Note, as with the street names I also included Fort Erie, Ontario for a point of reference.
By Craig Williams (@williamscraigm)
Day 4 (Hexagons) of #30DayMapChallenge. Used @geopandas and @APIGouv for this one. 🚴 ♂️
By Joaquin Beltran (@kimus_93)
#30DayMapChallenge 28. Funny - A selection of funny comments recorded in the LUCAS survey (~900 people2survey ~330k points) -info:https://t.co/5zB5PYwDKC -data:https://t.co/T747oMDgFd -vis(only 2015):https://t.co/ENbdn6U8UN -contrib by @EU_Eurostat E4 #GISCO #LUCAS- 2days2go
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
Day 7 of the @geospatialwomen #30DayMapChallenge and here is my take on the theme 'red'... Distribution of REDD+ partner countries and the years in which they joined the programme; inspired by some research I am working on at the moment.
By Beth Jackson (@BethJackson1x)
Tracks! Animals leave tracks, except puffins, who are too smart. So they have to be outsmarted. This puffin seems to have been all over the place (or perhaps it fooled us all 🤔) Data from: @MovebankTeam / Aevar Petersen #naturalearth #30DayMapChallenge #puffin
By Faris Alsuhail (@AlsuhailFaris) in Finland
Day 8 of the #30DayMapChallenge - ‘#Green’. @LDN_gov Tree canopy cover map showing the significant tree cover in #London which the mayor has committed to expanding. The data was derived in part from Geomni Colour Infrared Imagery. #geospatial #gis #mapping #geography
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
#30DayMapChallenge day 10: a minimalist #map in #blackandwhite with the number of inhabitants per province // Data source: @pro_in_cijfers // #made_with_excel
By Michel Stuyts 🌍 (@michelstuyts)
Day 5 Raster #30DayMapChallenge Kapiti Island made with #blender Data: LINZ Wellington 0.3m Rural Aerial Photos (2012-2013), LINZ Wellington LiDAR 1m DEM (2013)
By Leo (@hendrikxleo)
#30DayMapChallenge Day 27: Resources. Inden open pit #lignite mine in North Rhine-Westphalia, Germany. The profile shows how the Wang & Liu fill sinks algorithm fills up the pit. #opendata: #SRTM #OpenStreetMap. #opensource software: #QGIS #SAGA. #hydrology @ihedelft
By Hans van der Kwast (@hansakwast)
@IYIL2019 Día 17: Zonas Los términos #Regiónmixe, Distrito mixe y #SierraMixe a menudo son considerados como sinónimos, pero no lo son. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 15 - Names. So using #osm, I decided to take a quick look at streets named like me! #samuel
By Sam J (@samwise_v) in United Kingdom
The deep blue Tota lake, lying in the glorious green mountains of Boyacá, Colombia. Used Day 5 of the #30DayMapChallenge (raster) to learn how to make a pan-sharpened, true-colour Landsat 8 image using this excellent @NASAEarth guide https://t.co/jerm5VSfMl Those clouds 🌫️😍
By Ana Lucía González (@anlugonz)
#30DayMapChallenge #Urban En México existen 4,563 localidades clasificadas como urbanas por el #INEGI en el Marco Geoestadístico. #maps
By marko gutierrez (@GutierrezyMarco)
#30DayMapChallenge Day 16: Places. London, but which London? Maybe New London? Certainly not the real London.
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 3. Polygons (a bit late). Natural Protected Areas in Mexico vs (on-going research) Conservation priorities for biodiversity and Aichi targets.
By Daniel Avila (@Daniel_AvOr)
#30daymapchallenge Blue. This was inspired by a gorgeous, intensely turquoise photo of a chain islands in the Caribbean by photographer Steve Zmak. 1/2
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge 3. Polygons: what if we remove all the continents? :) island shapes copyright @openstreetmap contributors; map made with @qgis #mapmaker
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge Day 4: Hexagons I've dipped my toes into rayshader before, but this was a chance to do so again. Here's the rate of households with median incomes >$150K in Chicago. Height and color are based on percentage. All done with #rstats.
By Jerry Shannon (@jerry_shannon) in USA
Hurricane tracks from the NOAA IBTrACS database, line thickness by speed #30DayMapChallenge #Day24 #Climate Inspired by @williamscraigm https://t.co/PKWyDYL0nw
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge with #rspatial 4/30. Hexagon: Isn't France called the Hexagon? 🇫🇷 "France in regular hex" with #rstatsFR
By Sébastien Rochette (@StatnMap)
[EN] Erosion risk map for arable land in #Switzerland, with average soil erosion in tonnes /(ha*year) https://t.co/zk1zL3zfwU #30DayMapChallenge #rural @Agroscope
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Day 10 - Black and white A relief map of Rinjani Mountain, one of the active volcanoes in Indonesia as well as the most visited trekking site in Lombok. credits to: @openstreetmap & @InfoGeospasial
By Adityo Dwijananto (@adisadit)
#30DayMapChallenge Day 26: Resources Where we could buy a book? Dónde podríamos comprar un libro? Por sugerencia de @cathyvignolo hoy mapeamos las librerías (bookstores) de Santiago.
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge dat 9: This time a more stylized #map in #yellow
By Michel Stuyts 🌍 (@michelstuyts)
5. Raster #30DayMapChallenge Map of the territorial division between Guadalajara and Zapopan (red line). The suburbs of each county are also shown in yellow. #QGIS #Mexico #Map #Guadalajara
By D. (@daniel_isita)
Day 5 #30DayMapChallenge is raster, so here is a terrain map of GB. Built using #GeoServer and #qgis and @OrdnanceSurvey open data.
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge - Fire season in Latvia’s State Forests
By Emīls Mortuļevs (@57x025 / emil) in Latvia
#30DayMapChallenge Day 2⃣1⃣ Environment: Separate waste collection in 2017 in Lombardy Region municipalities (Italy). Data sources: - municipalities: @RegLombardia Geoportal https://t.co/PtYY0OY6Uu - separate waste collection: @ISPRA_Press https://t.co/Zj7ktxn6Ca Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
Day 29 (experimental): I have been playing around with #blender to make a representation of a typical Mediterranean catchment #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 25: Climate. Monthly average air temperature. Data from @ECMWF @CopernicusEU Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats
By Javier Elío (@Elio_Javi)
Day 24 of #30DayMapChallenge, statistics, uses the same data and base map as day 23. How many more statisticians than mathematicians in 2013, by region. code https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
Day 14: #30DayMapChallenge. District boundaries of Ghana @geospatialwomen
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge Day3: polygons. Continuing my explorations with mapdeck and #rstats. I still have to figure out how to plot actual polygons, but for now: 3D🙈 grid of San Francisco eviction notices (#MakeoverMonday w39 dataset).
By Nina Lindell (@ninatsuts)
Day 18 of #30DayMapChallenge: globe Significant earthquakes from from 2150 BCE onwards (One of Moderate damage+, Magnitude 7.5+, Mercalli X+, generated tsunami, etc) https://t.co/zGIHsGhqzx #rstats Code: https://t.co/rw1coSiiuT
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 8 : Green - Espaces verts à Lille #RStats #Lille #OpenData https://t.co/xt5874xiDM
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge #LASMaps ¿Qué dicen las portadas de los periodicos latinoamericanos hoy domingo 1° de dic.? https://t.co/dbbrI7FfhU
By LASA-Latin American Studies Association (@LASACONGRESS)
🗺 No.2 River flowing through Japan Rivers water systems have a fine network. Let's take a closer look by region 👀 🦉 Code: https://t.co/Br2QmFk8C2 #30DayMapChallenge
By Uryu Shinya (@u_ribo)
Day 13 #30DayMapChallenge is tracks, so here is a map that helps understand the pattern of railways in the SE of England, where victorian engineering drives modern house prices due to easy and hard places to build a railway.
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Día 23. Población. Distribución de la población en el estado de Jalisco, consulta más información sobre población en https://t.co/11VfM4okJd
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Day 14 of #30DayMapChallenge - boundaries: Auckland's Rural Urban Boundary. Outside the RUB, urban development is generally not permitted. Code: https://t.co/DT3xtigyGP
By Aaron Schiff (@aschiff)
Day 17 of the #30DayMapChallenge - #Zones A map showing #building #density zones in Sheffield Orange = High Density = Urban zones Blue = Low Density = Suburban zones In our #UKLand product, areas are classified by density of buildings within them.
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
#30DayMapChallenge Day 7: Red - DTM of a crater on the Red Planet 👽#mars #opensource #QGIS #hirise #openstreetmap #gischat #geography #cartography NASA/JPL/University of Arizona/USGS
By Kirsten Reilly (@_penguin_runner) in United Kingdom
#30DayMapChallenge 3. Polygons Once again the same CAP data, this time represented as a bivariate map crossing by 𝑐𝑜𝑚𝑚𝑢𝑛𝑒 the crop diversity with the mean plot size Design inspired by a @PostGraphics map #MadewithQGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 22 #BuiltEnvironment 🏘️ Zonas metropolitanas en México #QGIS
By Carmen Carro (@CarmenCarro_)
Day 7 of the #30DayMapChallenge : Red…GTFS Data Inclusion with thematic on the Chicago Metro Red Line. #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge 19. Urban How do you define an urban area? It's not as straightforward as you might think! Here are three different data sets showing the urban extent of Oxford. @OrdnanceSurvey's Zoomstack, and two data sets from @ONSgeography.
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge Mapa del rango del pájaro carpintero bellotero (Melanerpes formicivorus) en un escenario con un aumento de 1.5°C en la temperatura actual, en temporada de invierno. Fuente: https://t.co/hCe3N2y4H1 https://t.co/Xv6KDb8oql
By Alecantropo. (@aletslopez)
Day 24 (statistics): These maps show three methods of visualizing uncertainty in maps. Today I also have published a new a blog post in which I explain these methods and discuss their pros and cons: https://t.co/bnyQY2Gm0r #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Digging up my favorite project for #30DayMapChallenge day 19: #Urban Transit isochrones showing different city centres' accessibility within 15, 30 and 60 minutes on #PublicTransport + walking. Tools used: @heredev API, #Python & @qgis
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge 2. Lines Elevation contours, Lysefjorden, Norway.
By Tore Halset (@torehalset)
The final day! Day 30 of the #30DayMapChallenge launched by @tjukanov (home): this map shows countries where Positium's employees have lived vs countries where there have been major political protests in recent months. #maps #home #protests
By Positium (@positium) in Estonia
#30DayMapChallenge Día 17. Zonificación. Modelo de Ordenamiento Ecológico Territorial del Estado de Jalisco a Escala 1:250,000, descarga la información en https://t.co/DqiISxLw5n
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Day 23 of #30DayMapChallenge – Population: Tonight’s population of Trestle View Campsite
By Andrew Tyrrell (@SouthArrowMaps)
Taking a stab at the #30DayMapChallenge... Here's a density map of the birth place of all 140,000 MLB/MiLB players we have in our database.
By Daren Willman (@darenw)
Day 26 of #30DayMapChallenge: hydrology Rivers of Horomaka, New Zealand #Rstats. Code: https://t.co/LhMh0prdlz
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 7: Red - Anfield Tools: @ArcGISPRO Data: @openstreetmap Liverpool Football Club (aka The Reds) have been calling Anfield their home since 1892. #LFC #youllneverwalkalone #buildingfootprints
By Christopher Pollard (@CRVanPollard) in USA
#30DayMapChallenge Didn't have time for this one
By Emīls Mortuļevs (@57x025 / emil) in Latvia
Kart nummer 2 er linjer. Her har jeg hentet ut alle buss, T-bane, tog og trikkelinjer fra Open Street Map for hele Oslo-området med unntak av Nesodden og noen "grønne" bussruter #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 3. Polygons- Glaciers in Iceland ❄️
By Shannon Gonzales (@yavannie24)
River Zbruch millennial natural border. I tried to show the typical structure Podolia (Podilia) countryside. Left side Ternopil region, right Khmelnytsky region of Ukraine. #30DayMapChallenge Day 20: Rural Data: #OpenStreetMap contributors, #QGIS
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
Day 13 of #30DayMapChallenge is Tracks: One of our employees had a bit of an adventure through South America and recorded his overnight stays. #peoplewholiketotravel #QGISrouting
By Positium (@positium) in Estonia
Day 24 of the #30DayMapChallenge : Statistics…Fast data binning, statistics, analytics, and visualization with the #GeoSpatialCore to make map data much more interactive and custom. #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge Black&White - using Street Intersection datasets (https://t.co/Kod1BgHaQe) and created TSP (Travelling Salesman Problem) art. #rstats There's 6100 intersections recorded in dataset!
By Chisato (@chisatini)
For today's #30DayMapChallenge I made 50 maps, because with #qgis atlas once you've made one, the other 49 are free. This stems from a visit to Rhode Island on the way to Boston for #FOSS4G 2017, when someone told me they grew up in a county bigger than RI.
By Ian Turton (@ijturton) in United Kingdom
Posting late but one of my favorite maps I ever made because when else in academia would I ever make this... @kanyewest SAINT PABLO TOUR #30DayMapChallenge Day 2: LINES All colors taken from hex-codes from album cover with font types. #saintpablo #kanye #terriblemaps
By Marc Marean (@marcmarean)
#30DayMapChallenge Day 24. Climate What are the most polluted municipalities in 🇳🇱, if we look at the amount of nitrogen dioxide in the air? And how could the situation be in 2030? Let's see how these predictions turn out 🔮🤔 Interactive 👉🏻https://t.co/XKNTSW5EKr
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge 1. Points pH des nappes souterraines en #bretagne
By Ben (@benfriin)
Day27 - #resorces - #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge - Day 11: Elevation // DEM of the #Alps. Built in #b3d and #QGIS. Data by: @CopernicusEU @openstreetmap
By Valentin Schalk (@SchalkValentin)
Worldwide Starbucks Locations #30DayMapChallenge Data Source: https://t.co/CA56SAq2e4
By にゃんこそば 🌧️ (@ShinagawaJP)
#30DayMapChallenge 6. Coastal tourism as #BlueEconomy sector.Three most popular destinations in EU: #Canarias, #Cataluña and Jadranska #Hrvatska, 2018 -info: https://t.co/cv0EKEHNyj -visu: https://t.co/JdjXCGAKHC -by @EU_Eurostat E4 -25days2go -Software: IMAGE-inhouse EC tool
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
#30DayMapChallenge #day6 #blue #iNaturalist two maps I did for today
By joshua sumers (@joshua_sumers)
#30DayMapChallenge urban, here is one of the oldest urban areas of the world - street map of Jerusalem #map #maps #jerusalem #cartography #mapping #blueprint
By indiaviz (@indiaviz)
Day 13 of #30DayMapChallenge – Tracks: Whakapapa and Tūroa ski areas
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge #hastaBrasta #fasterRaster #OpenData #DTED #DEM @ClimateCentral recalculated SRTM @OrdnanceSurvey derived by me from elevation grid East Anglia coastal area susceptible to coastal inundation
By Andrew Zolnai (@azolnai)
#30DayMapChallenge Jour4: Hexagons. Je n'ai pas cherché bien loin ni bien longtemps... Hexagons=France=Vin. Carte des 10 plus gros exportateurs de vin dans le monde. Utilisation de https://t.co/uO7N9Ip6YZ de @amcharts
By Marlène Dorgny (@MarleneDorgny)
Day30 #home #TheEnd of #30DayMapChallenge THX to @tjukanov THX di #like #heart #followers #gistips THX to @qgis @LeafletJS @postgis @WordPress for all my small works @gis_tonic #Milano
By PJ #GISTonicker (@pj_go_2020)
@tomchadwin @ricckli #30DayMapChallenge Day 6: Red - Something for the Canadian mappers out there. @realredgreen 2019 Canadian Tour stops + non-Web Mercator web mapping with @CARTO https://t.co/hkvoz10Gai
By maptastik (@maptastik)
Day 11: (No) Elevation. Building a workflow/app/map to help ice crews make flat ice for #curling. #30DayMapChallenge
By Sam Jenkins (@SamIAmFargo)
Nov 4: Hexagons! - Seasonality of rental renewals by TLA How much seasonal variation there is in MBIE's rental bond lodgement data. #30DayMapChallenge
By Rustie (@rustie5555)
Day 9: Black and white #30DayMapChallenge Val di Fassa Data: https://t.co/4ufHtjTJiW EU-DEM
By Leo (@hendrikxleo)
Day 9 of the #30DayMapChallenge - #Yellow Yellow is the colour of the airside markings at @STN_Airport that we mapped out using a high-resolution imagery database. The database was used by Stansted for maintenance and the markings themselves are used for navigation of aircraft.
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
Day 23 #population #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 23 - Population I took the population of England and Wales at a household level and found the nearest pub for each person. This shows the busiest pub per county with the queue outside visualised as a line (1 metre per person). Table shows top 10.
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
Turning blue. Forest management plans depict forest stand structure. Blue is for birch, orange is for pine, violet is for spruce. This location (1927, 1971, 2018) becomes more populated by birch, therefore more blue #30DayMapChallenge #lvmgeo
By LVM GEO (@lvmgeo)
Greater Dublin commuter flows from CSO data #30DayMapChallenge #Day9 #Yellow
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge Day 12: Movement Outcoming/ incoming commuters in Austria per municipality #STATatlas @STATISTIK_AT https://t.co/CCo4dI49yQ
By g.katz (@knozi1)
#30DayMapChallenge Day 06 - Blue Le relief #Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Día 20. Rural. Esta es la frontera agrícola en el estado de Jalisco.
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Day 19,5 of #30DayMapChallenge - Urban 🏙️ 🏛️ Architectural styles of the city (center) of Oradea🇷🇴 VERSION2⃣ - because what's better than realizing 4 hours later that you forgot to add one color to the legend 🙃
By Arnold Platon (@Arnold_Platon)
#30DayMapChallenge 🗺️ Day 3: polygons Land use map of the Netherlands, inspired by Piet Mondrian 🇳🇱🎨 Tools: #rstats #rspatial #ggplot2 📈 #Nederland #landuse #polygon #Mondriaan #generativeArt
By Mirza Cengic (@mirzacengic)
Urban. Percentage of livable floor area of total floor area in downtown Helsinki. Darker color = bigger percentage, bigger circle = more total floor area. Data: @hsy_fi, @HelsinkiKymp #30DayMapChallenge #urban #living #asuminen #helsinki #rakennustietoruudukko #bubbles
By Faris Alsuhail (@AlsuhailFaris) in Finland
Day 8 - Green #30DayMapChallenge I plotted the bike network in Madrid. Which in comparison with Boston and London seems quite... small. This is just my opinion, I haven't compared numbers. Although it would be interesting to know🤔
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Jour7: Red. Une cartographie de films dont le nom de la sortie française comprend le mot "Rouge". Source: @allocine
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Day 8⃣Green: Map of green areas in Como municipality 🇮🇹 🌳forests, parks, gardens & grass areas from @openstreetmap 🏦buildings & highways from @openstreetmap 〰️Como boundary from Lombardy Region Geoportal 🖥️ map made with @qgis
By Marco Minghini (@MarcoMinghini) in Italy
Day 3: Polygons Spent a week doing the @kennethfield election maps thing – love it! Value by alpha, transparency is like a “strength” of win by vote share. Red won. #30DayMapChallenge #WomenInGeospatial #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
En el mundo, millones de agricultores cultivan cientos de cultivos en más de 1,600 millones de hectáreas cada año. 👨 🌾👩 🌾 En cada región, la dieta y la vocación productiva son diferentes. 🌽☕️🍇🥔🍞🍌🍚 ¿Sabes cuál es el principal cultivo en cada país? #30dayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge, Day 13: Tracks. Here's tornadoes for much of the last 70 years in the Southeast. Dixie Alley certainly stands out! Made with @qgis
By Jerry Shannon (@jerry_shannon) in USA
On the 14th day of #30DayMapChallenge ("Boundaries") I looked at a few border city pairs on uniform scale. El Paso - Ciudad Juárez Islamabad - Rawalpindi Brazzaville - Kinshasa Niagara Falls (Canada/US) Data: OSM Tools: Overpass Turbo, Geofabrik, QGIS
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge Day 5, raster. Earthquake frequency map when red(1) - rare and blue(10) - very frequency. Data from https://t.co/0zDlBvQkF4
By Александр Зуев (@Zuev34W)
My submission for #30DayMapChallenge day 2 - lines: Commuter rail (not Amtrak) in northeastern US. Some data was hard to find (esp @MTA). I've taken these lines from Wilmington DE to New Haven CT. Shows how challenging #railroad is in US. #Map produced in #QGIS 3.8.
By Philip Pierdomenico (@PhilPierdo) in USA
Day 12: Movement Flow maps across the US without the hairball. Pleased to be able to implement an ODMap pattern in Vega-Lite @vega_vis https://t.co/yfGLuTecqU Workings & data: https://t.co/uRbFgwkHAn #30DayMapChallenge
By Jo Wood (@jwoLondon)
@fitnr #30DayMapChallenge – Polygon ★ Famous Footprints ★ – World-renowned landmarks reduced to just the shape they make on the earth. Data from @OpenStreetMap How many can ya id? Fwiw, they're (mostly) in alphabetical order, tho not at the same scale.
By Dylan HoHoHoriarty (@DylanMoriarty)
Day 7 of the #30DayMapChallenge brings us to the color red. Here are some red towns from around the world. https://t.co/HgMpS77TSq
By gmapsmania (@gmapsmania)
#30DayMapChallenge day 8: green. Greens (and other vegetable products) exports value | Exportaciones de productos vegetales. Data: @opentradestats API 100% reproducible map 🙃👉https://t.co/kY7ecGlZqR #rstats #rstatsES #datosdemiercoles 📊
By Daniela de los Santos (@danidlsa)
Día 1: Puntos Ubicación de las comunidades #mixes en el estado de Oaxaca. La región #mixe se ubica al oriente del estado; la mayor concentración de localidades está al occidente de la región mixe, aunque también hay varias localidades en la zona ístmica. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge day 12. Ok, this is getting trickier. I had to get out of my comfort zone & step out of Finland. a) data with time is not easy to acquire, b) animations need some experience. Here is my first attempt to use GIMP. It went the wrong way😀. Data USGS, earthquakes.
By Sanna Jokela (@SannaJokela1)
Day 6 (blue): The coming days I will show some results of a climate change study we did in the Segura River basin (SE Spain). Today the change in precipitation under the business-as-usual scenario (RCP8.5), which will decrease, especially for the far future #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 25 of the #30DayMapChallenge : Climate…All the beautiful rain last week at home in the valley of the sun from @NOAA #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge 30. Home All roads lead to home. Unless they don't. #osm #graphhopper #melbourne
By Simon Jackson (@SimonGIS)
#30DayMapChallenge nr 15. Namen als thema, daar kun je de provincies mee vullen.
By Bart Broex (@bbroex) in Netherlands
#30DayMapChallenge Day 29: Experimental: Lego - Tiree and Coll. Inspired by Estonian lego map from @evelynuuemaa Followed guide here: https://t.co/2neLnW07DW
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge Here's my map Day 06 - Blue, bit of a play on 'The Thin Blue Line', Choropleth of Number of Police Officers per 1000 people in @qgis, based on Mid 2018 numbers. Uses @ONS @OrdnanceSurvey & @ukhomeoffice data - links in thread...
By AndrewBoltonBPDTS (@ABpdts)
Hexing the Oil Wells of California 4 - Hexagons(!) #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge 2 | Lines Bay area street betweenness centrality (using the trigris package from @kyle_e_walker in #rstats)
By Andrew Renninger (@AndrewRenninger)
Belated day 18 of #30DayMapChallenge "Global... trade" 📦 : 🇪🇺 vs 🇺🇲 vs 🇨🇳 who's the biggest exporter to your country? Not my idea, but was inspired by @APHClarkson to redo the map 🗺️ to look at the EU's long trade shadow. Data via: https://t.co/nkqdO0Dgc2
By Arnold Platon (@Arnold_Platon)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 29 (experimental): All 589 Belgian municipalities mapped on top of each other, variations
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 1 - Points
By Gaëlle (@Gaelle_Sutton)
#30DayMapChallenge Day 28 #Funny 🥳🎉 Salones de fiesta en la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
Día 22: Edificaciones / #JëënTëjk El número de bibliotecas en la #RegiónMixe es escaso, y el número de #museos lo es más. Muchas de las localidades mixes no cuentan con una biblioteca a pesar de tener una población escolar importante. #30daymapchallenge #Libraries #Museums
By Colmix (@Colmixe)
Day 24 of #30DayMapChallenge: statistics Share of deaths from HIV/AIDS & other sexually transmitted diseases. Data from Global Burden of Disease Study 2017, https://t.co/5ivRq0Ef3e + #Rstats. Code: https://t.co/6CwTUch4a4
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
541 Finnish railway stations! #30DayMapChallenge Day27:resources data:https://t.co/2JuCsf6IWb
By Kouvola Analytica 📊 (@analytiikka)
#30DayMapChallenge Day 16 - Places: So many ways to go with this, so how about... map of Vermont with places as "where people are," places as "how the Census defines them," and places as "in street names."
By Tim St. Onge (@TimStOnge) in USA
Day09 - #yellow Taxi map of Milan #milan #30DayMapChallenge @tjukanov #gistips #cityplanner #geospatial #qgis #postgis #leafletjs #wordpress #gischat #geography #cartography #dataviz #gistipster
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge 1.points One year of traffic accidents (approx. 32 000 points) in Estonia
By Evelyn Uuemaa (@evelynuuemaa / Evelyn) in Estonia
Struggled a bit with day 9 of the #30DayMapChallenge - Yellow! Here is a map and chart of Rapeseed (Canola) production. As I'm allergic to the pollen I am now dreading going to Canada next year for #foss4g2020. made with #QGIS
By Ian Turton (@ijturton) in United Kingdom
My submission for day 17. "Zones" 🗺️: 🌊 The many faces of 🇪🇺 EU-related maritime Exclusive Economic Zones ⛴️ Inspired to return to the #30DayMapChallenge by a tweet from @hireuter on EEZs. Took more hours than initially planned.
By Arnold Platon (@Arnold_Platon)
#30DayMapChallenge day 21: only 5 city districts in Hamburg having more trees than cars
By Inga (@ing_ressive)
#30DayMapChallenge 11. Elevation The Dutch have no real mountains. The highest point in the Netherlands is the Vaalserberg, which we share with our neighbours in Belgium and Germany. Interactive version 👉🏻https://t.co/tZakDtPSBd
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge Day 1: Points
By Jon Olav H. Eikenes (@jonolave)
Este era el experimento (absurdo) que tenía en mente para el día 29 del #30DayMapChallenge. Distancias (en línea recta) medias y máximas entre gasolineras en dirección N, S, E y O. Fuentes: mapa de @GRAFCAN y datos de @GPortalMinetur .
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge nr. 9, "yellow".... ik dacht al aan bananen of aan het land waar Jumbo-Visma na 3 weken koers de leiderstrui wil bezitten (voor de heel makkelijke oplossing), wat zoekwerk leverde een dataset over verwachte landbouwopbrengsten op. Zoals zonnebloemen.
By Bart Broex (@bbroex) in Netherlands
#30DayMapChallenge Uzbekistan is one of the worlds leading cotton producers, but the massive amount of water required for its cotton fields have helped drain the Aral sea, shrinking it into a tiny portion of its pre-modern boundaries.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 1⃣3⃣ Tracks: I downloaded from @Strava all the GPS tracks of my runs done *only in 2019* & *only during the lunch break* (with a zoom on the JRC). Here's the result - as usually, the map is created in @qgis.
By Marco Minghini (@MarcoMinghini) in Italy
A quick throwaway for day 28 of #30DayMapChallenge topic:Funny Comedy vs Tragedy - the number of "Entertainer or Variety Artists" minus the number of "Prison Officers", by region (2013 census). Code: https://t.co/aojbV908Xs By this very sciency metric BoP is funniest with +15
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 6: Blue created in #QGIS using the @LINZLDS depth area layer with some shapeburst fill, raster image fill and some paper texture over the top for a water colour effect
By Pete King (@Generally_Geo)
Day 8 Green (or the loss of green) - Spread of bushfire at the Carrai National Park in New South Wales. For monitoring and mapping the spread of burnt ground both false colour and NDVI are useful tools. Imagery from @sentinel_hub @ESA_EO #30DayMapChallenge #NSWbushfires
By Brian Johnston (@Geo_BrianJ)
Whew, finally caught up! #30DayMapChallenge Day 11: Elevation: The Berkshires near Lenox, MA https://t.co/rHTIgsoZqO
By maptastik (@maptastik)
Antarctica without the snow. Put in a snowglobe #30DayMapChallenge Day 21: environment
By Sláinte Claus (@iamreddave)
#30DayMapChallenge Day 5 - Rasters Flood mapping with Sentinel 2 data EO Browser. NDWI Values are good measures for mapping floods: (B3 - B8)/(B3 + B4). #flooding #beledweyne #Somalia
By Abdishakur (@shakasom)
#30DayMapChallenge Day 22. Built environment. I was supposed to give you a nice 3Dgif with buildings from Helsinki CityGML. BUT. I had an aquarium accident today and a 🌊. So here is just a bunny I found from Turku. District Mälikkälä. Data: Topographic database @Maanmittaus
By Sanna Jokela (@SannaJokela1)
Day 2 of #30DayMapChallenge: lines. International travels of Donald Trump from 2017 to now. Made in https://t.co/k4fc9MQtmE. Data from Wikipedia.
By Bhanu K ¯\_(ツ)_/¯ (@thoughtisdead)
My first map for the #30DayMapChallenge! 😀 An administrative map of the world, downloaded from @EuroGeographics and done with #rstats. Code: https://t.co/y6OcXWFQGW
By Javier Elío (@Elio_Javi)
Transitioning between the outline of Scotland from the 1654 Blaeu Atlas and the modern day. See the @natlibscotmaps for more information on the source: https://t.co/rXzX6tg8Pi Interactive version https://t.co/2CYYV3Ykpy #30DayMapChallenge #Day29 #Experimental
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30daymapchallenge Day 04: hexagons Bus Stops in urban area Santiago, Chile (CEDEUS, 2015) Hexagons area: 50 ha
By Mauricio González (@magonza9)
Cartographie des mobilités professionnelles en 2016 : déplacements domicile - lieu de travail à Paris, Lyon, Marseille et dans toutes les communes de France. Consultez notre carte interactive pour en savoir plus. #30DayMapChallenge https://t.co/EzMrHnaywP
By visualizemap (@visualizemap) in France
Day 10 Black and White - Spent this afternoon playing the awesome new tool #Aerialod by @ephtracy to visualise #Lidar data for East Belfast. https://t.co/BovoLP1Rys Data from @opendatani #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Day 10: Black and White Steve Abraham's attempt at the world record for the furthest cycled in a year https://t.co/jHXqZUD4xQ Workings & data: https://t.co/zTMbjnyeXA #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 6: Blue
By Surface Libre (@surfacelibre)
Abstract statistics on fertility, mortality and migration processes for the first part of 2019 in some regions of Ukraine. #30DayMapChallenge Day 24: Statistics Data: #OpenStreetMap contributors, #qgis, https://t.co/QYgy36DqKS
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
#30DayMapChallenge Day 27: Resources - Wind Farms Scotland - Operational, Proposed & Scoping #opensource #SNH #ScottishNaturalHeritage #marinescotland #crownestatescotland #windpower #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
#30DayMapChallenge 6. Blue Depth information from S-57/ENC as vector tiles from ECC GeoView displayed in Mapbox GL. Sognefjorden, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge Day 5 #Raster 🏢🌏🐝 Airbnb beds Listed in AirBnb #Barcelona. #insideairbnb September 2019 Pixel size 100m using @qgis (Data from https://t.co/29ZE0Xt0Gz) #gischat #geography #raster
By Diego Pajarito G. (@diegopajarito)
Tracking Tropical Storm Fengshen - my ugliest map so far in the #30DayMapChallenge . However with a little work it could (possibly) be a good basis for future storm tracking maps. https://t.co/Iz7ROuZO1k
By gmapsmania (@gmapsmania)
#30DayMapChallenge Day4: hexagons. Data on memorial plaques could serve as a representation of cultural memory of a city. I love how House on the Embankment takes over when hex size decreases. Made in #Tableau with hexbinx() & hexbiny() https://t.co/DbEgMawFZ9 @tableaupublic
By Nina Lindell (@ninatsuts)
#30DayMapChallenge Day 3: Polygons French localities filtered by name 1. Ending with -ac 2. Containing "Saint(e)(s)" in the name Color is based on french flag and assigned by department number. Data: GEOFLA Tools: QGIS, Python RCS: RGF93 / Lambert-93
By Emmanuel R (@Emmanue17939044)
#30DayMapChallenge POLYGONS Triangulated irregular network (TIN) interpolation. Delaunay triangulation. PERSIANN-CCS rainfall over Crete Island 2019/01 (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, CCS 0.04 deg.) Res: 0.0008333 deg
By Vitali Díaz (@Vitali_DiMe)
Rural. 20 maps down, 10 to go! Here's a study of the amount of tractors / 100 ha of arable land in Finland. So much disruption. Data: @LukeFinland, @Tilastokeskus, @TraficomFinland #30DayMapChallenge #rural #maatalous #agriculture #disruption #disruptio
By Faris Alsuhail (@AlsuhailFaris) in Finland
A little late but here is day 1: Points from @JohnCappelen @MikaelScharling Technical@dmidk report on weather stations in #Greenland #30DayMapChallenge https://t.co/OoPsx09Rq6
By Ruth Mottram (@ruth_mottram)
#30DayMapChallenge 12/30 Movement. All the roads of the Netherlands lead to @GeoFort Made with @d3js_org - Canvas - @ProjectOSRM - Made by @BNiene
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 2: Lines Roads in Thailand Made with #qgis Source: Thailand MSDHS (2014)
By Note Dherapat (@prospero021)
#30DayMapChallenge 1. Points. Using a density map to generate a particle system in Blender.
By Peter Atwood (@Peterincan)
I have had no time today for the #30DayMapChallenge so I quickly threw some terrain in #Photoshop and blasted it a bit for a nifty little bit of art.
By Carl Churchill (@Cchurchili)
For todays #30DayMapChallenge I took some old data lying around to show a often-forgotten part of amerindian history. The Iréchecua Tzintzuntzáni / Tarascan State was the largest empire in Mesoamerica after the Aztecs. Its unique culture remains today among the Purépecha people.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 16. Places Church buildings, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge Dia 22. Built environment. Densidad de población que tiene vivienda en la zona de Suelo de conservación de la #CDMX (i.e. donde se recarga el acuífero de la ciudad). #RStats con datos de https://t.co/HhWzFU3uoB y @PAOTmx
By Juvenal (@JuvenalCamposF)
16 Places with more formal jobs in São Paulo Metropolis #30DayMapChallenge
By carolina passos (@carolpos)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal #Day16 #30DayMapChallenge: Places. @Foursquare "Coffee Shop" check-ins in Bogota. Data from https://t.co/JCF6iJ7oWn
By DoctorJ (@garciaart3)
Largest sports leagues by geographic area #30DayMapChallenge #Day18 #Globe
By Heikki Vesanto (@HeikkiVesanto) in Ireland
Day 13 (Tracks) of the #30DayMapChallenge from the perspective of a #seaice modeler: Wind tracks over #Arctic sea ice. Wind is the main driver of sea-ice deformation and strong winds break the ice.
By Nils Hutter (@HutterNils)
How to Find Your Nearest Mountain - you've seen enough disaster movies to know that when disaster strikes you need to flee to the nearest high ground. https://t.co/7cuGBzw4Yp #30DayMapChallenge
By gmapsmania (@gmapsmania)
Let's try to continue this #30DayMapChallenge with #rspatial in this thread. 2. Lines: Averaged daily number of light vehicules 🚗 by road in Loire-Atlantique department (France)🇫🇷 #rstatsFR
By Sébastien Rochette (@StatnMap)
Day 8 of #30DayMapChallenge. Green map showing the tree cover over the savanna zone of Ghana. @geospatialwomen
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge Día 24. Estadística. Estamos generando estadística sobre superficies con agricultura protegida (invernaderos) y sus características en Jalisco. Este es un ejemplo donde se analiza un año, en el municipio de Jocotepec.
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Super tarde, pero igual le quiero entrar al #30DayMapChallenge. De a poco, pero me iré poniendo al día, y trataré de subir todo a este repositorio https://t.co/guIfs7AsoK Bueno, para el primer día era un mapa con puntos, e hice el siguiente. Explico un poco 🧵:
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
So for day 3 of #30DayMapChallenge the theme was polygons. I decided to make something pretty. Here is London rendered in green spaces and buildings only. I think it's quite pretty.
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
#30DayMapChallenge 1 | Points You can tell a lot about a nation's economy by the number and distribution of its patents (via an excellent dataset from @gderasse et al https://t.co/PRdU18QyzT)
By Andrew Renninger (@AndrewRenninger)
Welp, not a strong effort but my cartographic #30DayMapChallenge journey is underway. Day One: Points - -Number of Fire Stations in Nebraska... with a fun lil' 🔥 theme. @NebraskaMAP #firefighters #thischallengewillconsumeme
By Marc Marean (@marcmarean)
bike paths in Los Angeles . . . 10. B/W #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge day 27 - resources. Here is a map of existing wind turbines in the British Isles - unfortunately due to NIMBYs all future development is force offshore for the UK. #qgis #osm
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge 1. Points All public transport stops in Switzerland, categorised by height above sea level. Data: https://t.co/v8wOZ5j5YR
By Martin Senn (@MartinSenn6)
Pollution des océans et pays pollueurs ! Carte réalisée par les étudiants de L1 Géo - TD Analyse Carto ! @uvsq #30DayMapChallenge #resources #2dayslate #cartographie Bravo à Thileni, Raphaëlle, Mathieu et Roxane !
By Nkhili Asma (@NkhiliA)
#30DayMapChallenge 11. Elevation For the elevation day i looked at the countries with the lowest average elevations: 🇲🇻1.8m 🇶🇦28m 🇳🇱30m 🇩🇰34m 🇬🇲34m ✔️ 🇪🇪61m 🇸🇳69m ✔️ data: https://t.co/MklDwpydNS #dataviz #maps #ggplot #rstats #urban #Gambia #Senegal #Dakar #GuineaBissau #sdg11
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 🔟 Black and white: All highways in Milan, Italy 🇮🇹 extracted from @openstreetmap (highway=*). Designed with @qgis. OSM folks, do you remember where #sotm2018 took place? @WikimediaItalia @polimi @GEOlab_polimi @ComuneMI @sotm
By Marco Minghini (@MarcoMinghini) in Italy
Day 8 of the #30DayMapChallenge : Going Green! @EUEnvironment country data on percentage of municipal waste recycled 2014…probably higher now. #IMNOS
By Patrick Nelson (@pnelson917) in USA
Todavía es noviembre y aquí les dejo un mapa #30DayMapChallenge
By Alfredo M (@AlfieMar93)
Day 14 #30DayMapChallenge # Boundaries I Con #MapasBogotá puedes conocer la ubicación de las 20 localidades en las que se divide la capital, también puedes conocer datos demográficos, población, salud, educación, seguridad, entre otros. Conócelos aquí 👉https://t.co/rn83STJ7Jt
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge Map_14: #Boundaries Gran trabajos de coordinación de limites, a partir de 2001 x definir los límites de las CP del Segarra-Garrigues de los diferentes términos municipales. Contratos de CP de <> empresas. Post @iAgua CP https://t.co/VMO4pzxQkv
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge Day 10: Black & White: Baarle-Hertog https://t.co/IBQwn2sJDM
By maptastik (@maptastik)
#30DayMapChallenge 16: vietas. Piesārņotas vietas. Pēc Piesārņoto un potenciāli piesārņoto vietu reģistra datiem, ārpus Rīgas to skaitliski visvairāk ir Ventspilī.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge Day 6. Blue Don't use single color palettes for qualitative information. Color values (lightness) can be ordered, and that might give the impression that some categories are better or have more importance than others. Use color hue instead.
By Víctor Olaya (@volayaf)
Earthquakes in the island of Mindanao, Philippines from October 1-31, 2019. Data Source: @phivolcs_dost #MindanaoQuake #30DayMapChallenge #GIS #Geology #Dataviz https://t.co/kC14GHaTTg
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
Hexbinning Manhattan Bars. Day 4 of the #30DayMapChallenge is to create a map with hexagons. This interactive map shows you New York's hot spots based on the density of bars. https://t.co/gjfG2OmodH
By gmapsmania (@gmapsmania)
#30DayMapChallenge Day 19: Urban - Area of dense human habitation (also known as Urban Areas) from #naturalearth #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner) in United Kingdom
Horse riding tracks in Helsinki. #30DayMapChallenge 2. Lines Code: https://t.co/fg4zUm1CQJ #ggplot #sf
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 13 Track - Late, but wanted to visualize past typhoon data on JMA site (https://t.co/YAjTzwrYBU). Here's few of different attempts visualizing path of typhoon since 2001 - 2019. #rstats code: https://t.co/QYPCnU4dCB
By Chisato (@chisatini)
#30DayMapChallenge New Zealand Geo Board Places divided into three types
By Pete King (@Generally_Geo)
Una vez más brincándome los demás mapas del #30DayMapChallenge, día 14: fronteras. Aquí las isocronas de ORS para la discoteca Las Pulgas en Tijuana (a 10, 20 y 30 minutos). Hecho con #QGIS.
By Manuel Toral (@jmtoralc)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 14 (boundaries): This 3km straight line crosses the 🇧🇪-🇳🇱 *18* times
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 22 - Built Environment Today's map is a joint effort with my son who is building an immersive game situated in the real built environment @xmpli. This video shows a fly through of a virtual Brixham built upon Ordnance Survey data
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
#30daymapchallenge Day 17: Zones. Helsinki Regional Transport (HSL) fare zones since April 2019 https://t.co/7iZeOHJEBk Hello @d3js_org - it's been a while! Fond memories from the courses by @miskaknapek in 4/2014 in Tampere, and by @alignedleft in 12/2015 on the interwebs.
By Tuija Sonkkila (@ttso) in Finland
Black & white day in #30DayMapChallenge: I wonder if we are going to have a #whitechristmas 2019! Made with #rstats #ggplot2 and data from @IlmaTiede. Code: https://t.co/ankVPBx555 #weather #snow #Finland
By Arttu Kosonen (@datarttu)
#30DayMapChallenge Day 20 is rural. Here is a quick LiDAR elevation analysis of a portion of the Driftless Area in Wisconsin. #cartography #GIS #LiDAR
By Kendell Welch (@kendelldotio)
#30DayMapChallenge 22 - built environment was always gonna happen at some point in the month...re-release of this old chestnut. Air quality in LDN linked to the built environment 💁 ♀️ #alteryx #qgis
By A. D. Mac (@AdiBop_) in United Kingdom
Diving into #30DayMapChallenge with Day 14: boundaries. #rstats / #gganimate help us see what @Stats_NZ's changed small area boundaries mean for Carterton District
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Day 1: Points 81938 Villages in Thailand Made with #qgis Source: Thailand MSDHS (2014)
By Note Dherapat (@prospero021)
#30DayMapChallenge Day 4...Hexagons!
By LDSI, Inc. (@LDSISurveying)
#30DayMapChallenge #Day5 - @CopernicusEU Corine raster - gif of "urban" Dublin. Please enjoy my urban/not urban classification, simplifying Corine code system and making urban studies folk (incl me) cringe 😅 But this is how "urban" landuse gets coded from satellite data y'all...
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 25 - Climate: "Precipitation of the wettest month" via CHELSA project (high resolution climatologies, 1979-2013, https://t.co/986A4r2iLF). India is striking here. The brightest spot is the Indian state of Meghalaya, one of the wettest regions in the world.
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge Día 30. Hogar (Home). Si el hogar es el lugar donde vive la familia, les comparto un mapa que hice de mi municipio de origen: Ocuituco, Morelos. Este municipio, conformado por 8 comunidades de tamaño similar, alberga en su territorio a 18,580 habitantes.
By Juvenal (@JuvenalCamposF)
Districts in Germany if their names were just their first and last two characters: https://t.co/137PQk9Hci #30DayMapChallenge Day 15: Names. Thanks to @undertheraedar for the idea!
By cartocalypse (@cartocalypse)
#30DayMapChallenge Day 12: Movement 🐦 Today's challenge data comes from the awesome @MovebankTeam, an amazing resource for animal tracking data. This #dataviz is showing the movement of Manx shearwaters around the coast of Wales, Isle of Man and Ireland. #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
day 11 of #30DayMapChallenge and it turns out you can't quite fully work out lidar data and rayshader in an hour but you can get fairly far 1metre resolution LiDAR elevation data for Midsummer Common in Cambridge plotted in rayshader and as a raster. Also google maps to compare
By Robert Hickman 🐝 (@robert_squared)
#30DayMapChallenge nr 14, "borders". Het geoportaal van Provincie Overijssel biedt een mooi bestand van historische gemeentegrenzen, hoe ziet dat eruit voor een willekeurige gemeente daar?
By Bart Broex (@bbroex) in Netherlands
Day 5 of #30DayMapChallenge – Raster. 🐔 Chickens 🐔 of the world, data from the Harvard Dataverse
By ಠ_ಠ (@DeniseDSLu)
For tdy's #30DayMapChallenge ("built environment") I looked at "walkability" for Maine & York county (neither of which is very walkable) w/#rstats {sf} {tigris} & @usdatagov's walkability index db. York's map is fairly big so folks can zoom in a bit. Code push later tdy.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Van mis aportes al #30DayMapChallenge nuevos y atrasados, sobre segregación social en GDL. Acá el repositorio con los scripts: https://t.co/G0i4qIEfDY Day 7. Red: Segregación social en Guadalajara visto con años de educación a nivel manzana. Rojo es menos. #rstatsES #rstats
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
#30DayMapChallenge Day 25 Climate - though this map is more an indication of where problems will occur with increasing temperature rises. #QGIS
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge Day 14 - Boundaries Frontière Irlande du Nord / République d'Irlande, avec localisation des anciens checkpoints et passage/ Border between NI and the Republic with former checkpoint and crossing locations. @irishborder #irishborder #NI #RepublicOfIreland
By laurent gontier (@laurentgontier)
Day 8 "Green". Three ancient hillforts in Tērvete, Latvia. LIDAR data digital terrain model (DTM) and digital surface model (DSM) #30DayMapChallenge @lvmgeo
By LVM GEO (@lvmgeo)
Day 2 of the #30DayMapChallenge: Lines. Earthquakes are the biggest natural peril risk in NZ, and I often wonder how a big EQ would affect infrastructure, electricity etc. I plotted the major faultlines and powerlines, along with the biggest EQs we've seen in the past yr.
By Emma Vitz (@EmmaVitz) in New Zealand
Day 19 of #30DayMapChallenge: urban Christchurch (and surrounding areas) wastewater network in brown, water treatment plant in yellow. Data from LINZ and Canterbury Maps https://t.co/8Fq6l4H0en Code: https://t.co/0JNIgmrLJo
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Día 11: Elevación / Tun'ääw kojpk'ääw La palabra "mixe" suele asociarse con un ambiente montañoso y elevado. Pero esto es sólo parcialmente cierto: gran parte del territorio #mixe en realidad se ubica a altitudes menores a 1000 msnm. #30daymapchallenge
By Colmix (@Colmixe)
Day 1 - Points! All of the listed buildings in the UK colour coded for grade. Data from @opendatani @HistEnvScot @HistoricEngland and @NatResWales. #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Day 30: Home The 30day challenge has been a blast, I really enjoyed pushing myself and learning, but mostly being inspired by all the amazing maps and ideas people have shared. Thanks everyone
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 3, theme - polygons. Showing protected marine environments. Data sourced from JNCC.
By Kate Amanda Booth (@Kate_GIS)
#30DayMapChallenge Day 23: Population. Last year, for awork task, i followed an excellent post by @undertheraedar on using #qgis atlas by field. So for today I quickly copied it again to show GLA's updated population projections
By Sam J (@samwise_v) in United Kingdom
#30DayMapChallenge day 22: some rooftops in @GemeenteKontich - an image created by cropping an orthophoto with a building layer. // Data from @info_vlaanderen // #builtenvironment
By Michel Stuyts 🌍 (@michelstuyts)
Día 21: Medio Ambiente / #Etnääjx Gran parte de la #RegiónMixe está cubierta por bosques con vegetación secundaria, resultado de un manejo de más de 2,000 años de historia, si bien aún existen importantes superficies de bosques primarios. #30daymapchallenge
By Colmix (@Colmixe)
Day 30: Home What does 'home' mean to me? Many places, many people and many activities that give me the comfort of belonging. I tried to capture the November light of my view of the Langdale and Consiton fells. Workings & data: https://t.co/iRlUlCsxNc #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 12 - Movement Australian bushfires as seen from the Himawari-8 satellite. https://t.co/YvraUJFYxI
By Keir Clarke (@KeirClarke)
If you don't want to read the blog My Day 01 - Points #30DayMapChallenge main map, LS (Leeds) Postcode as Points, Leeds City Region Boundary (Black) Leeds Travel to Work Boundary (Blue)...
By AndrewBoltonBPDTS (@ABpdts)
The #30daymapchallenge goes urban today, and I just happened to have an early 2019 building dataset for an entire city on my hard drive. Here’s Utrecht, colour-coded by year-of-construction. #map #cartography #lovemaps
By One Stop Map (@onestopmap)
#30DayMapChallenge 6/30 Blue. Feeling blue? Map indicates risk of depressive and anxiety disorders among adults in 2016. Made by @emacgillavry based on data from @VZinfoNL and @statistiekcbs
By cartiqo (@cartiqomaps)
Day 19 of #30DayMapChallenge: Urban Our followers map by city https://t.co/CVYGadEdid
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Day10: black & white. A simple dot density map (first one for me) of dairy cows in NZ (which are sometimes b&w:). Made with st_sample() from {sf} package #rstats, visualized in #Tableau.
By Nina Lindell (@ninatsuts)
Day 18 of #30DayMapChallenge – Globe: Frank Turner's Never Ending Tour Of Everywhere: An interactive global tour of every @frankturner show to date https://t.co/MyhT17Tt1n
By Andrew Tyrrell (@SouthArrowMaps)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 22 (built environment): Building heights in the city of Diest, in 3D (my new house is somewhere in there) https://t.co/ZLiKncbc0R (watch out: heavy page!)
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 3.polygons Great Britain's Largest Inland Lakes / Lochs ordered by area , OS OpenZoomStack, #qgis, postgis query to create the grid layout.
By Steven Kay (@stevefaeembra)
Dublin’s O'Connell street, with the Spire visible. From NYU lidar, and rendered with @ephtracy's #Aerialod. The lidar needs a bit of polishing, but fascinating tool. #30DayMapChallenge #Day22 #BuiltEnvironment
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge Day 17 Zones My first map with QGIS (and my first several QGIS crashes). Got about 25% done before giving up and doing another 25% in Inkscape. The final 50% of polish is left as an exercise for the reader.
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Day 18: Globe Playing with projections when suddenly a giant sinkhole opened up in Greenland! (Jugando con proyecciones y #mapproj en #rstats #rstatsES) This and other tests 👉 https://t.co/GMtMcqeAON #datosdemiercoles #GIS
By Daniela de los Santos (@danidlsa)
Day 17 of the #30DayMapChallenge the theme is 'zones'. Based on some recent reading; I've visualised the change in Bangladesh's EEZ from 2009-2018 allowing access to the Indian Ocean via the Bay of Bengal for the fishing fleet after agreements with Myanmar (2012) & India (2014)
By Beth Jackson (@BethJackson1x)
#30DayMapChallenge - Population (Day23) + Stats : Wish all pet takes census too but couldn't find any data on pet ownership. Vancouver's population by neighbourhood area with 2016 census data from @VanOpenData #rstats
By Chisato (@chisatini)
#30DayMapChallenge 11. diena, augstums. Arī ģeodēzistiem ir savi G punkti. Valsts ģeodēziskā tīkla 0., 1. un 2. klases GPS punkti.
By Kristīne (@kriksine) in Latvia
#30DayMapChallenge - Day 11 - Channeling my inner physical geographer with @NASA 90m SRTM elevation Data (thanks to @cgiarcsi for this very cool global + open access resource) to show Dublin as a land/water-scape from harbour to mountains.
By Maedhbh Nic Lochlainn (@niclochg)
For day 19: Urban of #30DayMapChallenge — A map @cristinapoiata and I made earlier this year based on data from UNDESA showing size and growth of 1800+ urban areas with more than 300k inhabitants over a period of 70 years. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge Day 30 - Home: A mappy encapsulation of home (or just "where I've lived") over the years.
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge Day 03 - Polygons; #QGIS QGIS built Voronoi Polygons derived from GP (Doctors) Postcodes, with Number of Doctors per Polygon... in England. From @NHSDigital & @OrdnanceSurvey #OpenData Don't think there's any #Open GP Boundary Data? so thought I'd make some.
By AndrewBoltonBPDTS (@ABpdts)
RT maptastik: Whew, finally caught up! #30DayMapChallenge Day 11: Elevation: The Berkshires near Lenox, MA https://t.co/6Yp8laa1f0
By Rizwan Shaikh (@rizwan236)
Testing Wurman dots. #30DayMapChallenge
By Emīls Mortuļevs (@57x025 / emil) in Latvia
@col_en_datos @qgis @CitiBikeNYC Day 2 #30DayMapChallenge: Lines. The path (but not the trajectories) of @CitiBikeNYC's hardest working bike in Manhattan (at least in June): Bike #33877 did 48 trips on June 3, 2019. And you thought your summer was hard!
By DoctorJ (@garciaart3)
Here are my lines for Day 2! #30DayMapChallenge @tjukanov
By Garret Merle (@gmsooner)
#30DayMapChallenge Day 26: #hydrology: If Mosul dam breaches. More info here: https://t.co/AWCXBGFwiU
By Lutra Consulting (@lutraconsulting)
Mercados, Bancos, Hoteles, Gasolineras y Templos Alcaldía Cuauhtémoc, CDMX. Day 16:Places #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Day 4: Hexagons! #30DayMapChallenge These maps show the percentage overlap with the World Database on Protected Areas (WDPA) in the US, Alaska and Hawaii. Data: https://t.co/PhSmqvRWoZ
By Leo (@hendrikxleo)
#30DayMapChallenge Day 15: Names. Many populated places in the United States are named after places in England, Scotland, and Wales - so I matched them up and generated connecting lines to see what would emerge...
By Craig Williams (@williamscraigm)
#30DayMapChallenge day 17: Seismic #zones in #France // #MadeWithQGIS
By Michel Stuyts 🌍 (@michelstuyts)
Day 10 of #30daymapchallenge is 'Black&White'! Need a simple but #interactive #map to help #teach #longitude, #latitude? Here ya go! Black #vectors notate prominent lines around the wold. Find more #edudata in #ArcGISOnline using search term "ArcCanada"! https://t.co/AWol2V0y2V
By GIS for Education (@GIS4Teachers)
Not been able to anything today for #30DayMapChallenge other than an extremely rough and quick render of Sutton Park. At 2,400 acres it is apparently the largest urban park in Europe and - according to local legend - home to Barkfoot.
By Sam J (@samwise_v) in United Kingdom
@tjukanov And here is #30DayMapChallenge day 9: Yellow Only yellow(ish) metro lines in various cities. Not a popular choice for evident reasons of visibility. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge Day 9: Yellow Location and density of contributing companies in #SantiagodeChile / Localización y densidad de empresas contribuyentes en Santiago Data from @SII_Chile and geolocated by the wizard @colivos17
By Juanizio Correa Parra (@Juanizio_C)
Our maps of the weekend in the #30DayMapChallenge are ones on the location of bathing sites in England and air quality management areas in the UK, covering the themes of Places and Zones. You can explore the maps here: https://t.co/KzzzWy4y6d #locationinsights #datavisualisation
By Emu Analytics (@emu_info)
Day 19 of #30DayMapChallenge - Urban. Here’s a dot density map of people living in food deserts in New York, based on census tract-level data from USDA.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 25: Climate. Probability of a White Christmas in the Continental US...in felt. A generalized remake of the original NOAA map with felt symbols. Original map here: https://t.co/AnyiiPHAe0
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 26 is hydrology - here's a map of EPA bathing locations and 2019 water quality data. Rule of thumb is, if the logo is darker, dip or sip with caution...
By Maedhbh Nic Lochlainn (@niclochg)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 13: Boundary Code violations by neighborhood in Syracuse (you can see the boundaries without the boundary lines mapped) Data: https://t.co/5iL1mzwy3b Code: https://t.co/6Ifx2n3Kz5
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Cementerios en #México con información de #INEGI #mapas #maps
By marko gutierrez (@GutierrezyMarco)
#30DayMapChallenge 2. Lines Last year almost nine million tourists visited Amsterdam, who mostly stay in the inner city. Which streets should you avoid if you're not into crowded places?
By LocalFocus (@LocalFocusNL) in Netherlands
#30DayMapChallenge Day 2 - lines. Non stop routes from @Gatwick_Airport Surprisingly further than I thought. made in #QGIS
By Ian Turton (@ijturton) in United Kingdom
#30DayMapChallenge day 20: a color infrared image of Grenspark de Zoom Kalmthoutse Heide. Data by @info_vlaanderen and @openstreetmap // #rural imagery
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 9 - Yellow. Here we have the Chinese "Yellow" mountains, or Huangshan as they call them natively. I've exaggerated their height a bit and added a nice yellow tint. Hope this helps with the Saturday hangover ;-)
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
#30DayMapChallenge day 22 Built environment. Orwell’s dystopian World. @ddiazescandon
By Javier (@7Javier6)
#30DayMapChallenge Day 2: Lines - Devils Tower Tools: @ArcGISPro
By Christopher Pollard (@CRVanPollard) in USA
@qgis @TlseMetropole My little contribution to the #30DayMapChallenge Day 5 - Raster Working with Multi Directional Hillshading & mist effect made with @qgis & @IGNFrance
By Tony Hauck (@Bill_Bluray)
#30DayMapChallenge Día 11. Elevación. En el IIEG tenemos mapas 3D con la topografía de cada municipio de Jalisco. ¿Quieres verlos? https://t.co/MkAM2KEU1g
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Mapa con trending topics en la mañana del viernes 15 de Noviembre 2019 Day15 #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
A few minutes before the end of the day, I managed a quick visualization of Toronto's building footprints for the #30DayMapChallenge Day 3 (polygons). Data comes from @microsoft awesome dataset of footprint inferred from computer vision: https://t.co/GwIzMoZ25K
By Spriteware (@Spriteware)
#30DayMapChallenge 3-Polygons. The Voronoi Island of Sardinia. Made in R (sf) from centroids of census tracts cc @OpendataCorsica @CorsarProject @Sard_opendata @openras
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 2⃣ Lines: The run I made yesterday: down to beautiful Lake Como & back up the hill 🌄 - data: GPS track recorded by my @Garmin - map: the new @Mapbox @openstreetmap background used by @Strava
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 18 : Globe - Pays des villes jumelées avec les communes des Hauts-de-France #HdF #RStats https://t.co/jaWVbcf1KU
By Cécile Rodrigues (@Grisoudre) in France
Day 11 Elevation #30DayMapChallenge. Raised sea beds after the Kaikoura earthquake https://t.co/76EznNCBeN
By Kim Fitter (@Kim_Fitter)
#30DayMapChallenge 5. Raster: Global estimated risk index for multiple hazards in Asia and Pacific. Brighter means higher estimated values. Data from @UNEP. Made with @qgis #mapmaker
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge Day 19 urban and 20 rural together. Changed color to highlight the more rural place as red instead of the opposite most of the time :) Skipped day 18 globe (will catch up later)
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Why not use two rasters at once? DEM + NLCD of Asheville, NC
By brady (@geo_brady)
#30DayMapChallenge 7. Red With thanks to @John_M_Nelson for the @ArcGISPro style for the second day running... here are the roads of Redbridge, Southampton, together with the AQMA resulting from the road traffic pollution. 🚗↔️🚴 ♀️ Source: @OrdnanceSurvey OML, AQMA: Defra.
By Helen Cooper (@HelenOfStow)
Lokoj nomataj "esperanto" en la mondo. #Esperanto #30DayMapChallenge Tago 16 : Lokoj.
By Reĝa Ardeo (@RegxaArdeo)
Day 28 of the #30DayMapChallenge with the theme Funny! I decided to find the most common dog breeds in New Zealand, and the names that those breeds are most likely to have #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge 7: sarkans. Valsts svētku noskaņās - Brīvības iela. Pirmais mēģinājums ar QGIS 3D skatu.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
Day 13 (tracks): Again one from my PhD thesis. This animation shows all the measurements I took during one field survey in a lowland stream in the Netherlands. #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 9: Yellow Places with "sun" in the name, per query of @USGS @USGSTNM GNIS place name file. I've used National #Map data to make maps before, but I've learned so much more just this month, h/t @tjukanov Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo) in USA
Here we go, my quickie contribution to the #30DayMapChallenge Day 10: Black and white. Do you know which country is it? #QGIS #LEGO #maps
By Nicolás Corti (@corti_nicolas)
#30DayMapChallenge , day 10 black and white. And it's a schwarzplan of my home-city Volgograd. Big linear city awfully not complete at OSM, and it makes a little difficulties with urban fabric analysis.
By Александр Зуев (@Zuev34W)
So I fell off the #30DayMapChallenge there - but back at it again (now minus an appendix 😅) with #Day6 Blue and #Day7 Red. Water bodies for blue and for my red map, an example of how red has historic and current 'weightiness' in colour psychology of (mis)mapping. Spot my errors?
By Maedhbh Nic Lochlainn (@niclochg)
El índice de envejecimiento nos dice el numero personas adultas mayores por cada 100 niños y jóvenes.En México es de 38. La CDMX es la entidad con el índice más alto con 71.7 mientras que Quintana Roo la más baja con 22.9. #rstats #30DayMapChallenge #rstatsES #datosdemiercoles
By Gerardo Najera (@Gerard_Mauro)
Så grønt er det i Oslo! Dag 5 av #30DayMapChallenge med raster. #NDVI #Sentinel2
By Torstein S Throndsen (@TSThrondsen)
Categoría: #DEM #RASTER Geoprocesamiento: Modelo Digital de Elevación a partir de Curvas de Nivel AOI: Cuenca Río Santiago, Jalisco . México Fuente: Cartas Topográficas 1:50k. INEGI #30DayMapChallenge
By Edgar Daniel (@edaniel_ramirez)
Day 16 of #30DayMapChallenge – Places: Best Things To Do in New Zealand
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge - Day 2 >Lines ➡ Main roads in France with open dataset of @IGNFrance ROUTES 500 (https://t.co/TgeQ6enuZm) #MadewithQGIS
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge Day 3: Polygons Bright Lights of Population — usually resident population density. Data: Statistics NZ (https://t.co/WHVU03T1zV), made with QGIS.
By Hamish Campbell (@polemic)
Been off sick from coding but luckily have a hexagon map from a few years ago for day 4 of #30DayMapChallenge Irish speakers in the 2011 census binned by next (and also smoothed using getis-ord)
By Robert Hickman 🐝 (@robert_squared)
#30DayMapChallenge A drilling map seemed perfect for todays challenge. Lines cross over a distance. Horizontal drilling cuts across land in search of oil, bringing wealth but also risk as pipes can leak into the land. Made in #ArcGISPro.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 🗺️ Day 2: lines Elevation map of Bosnia and Herzegovina, in Joy Division's "Unknown Pleasures" style. 🇧🇦 🎶 Data: SRTM 🚀 Tools: #rstats #rspatial #ggplot2 📈
By Mirza Cengic (@mirzacengic)
#30DayMapChallenge Day 2: Lines The mighty Waikato River – New Zealand’s largest river its tributaries. Data: MfE (https://t.co/uTCQQO206M) REC 2010, LINZ Coastline, made with QGIS.
By Hamish Campbell (@polemic)
#30DayMapChallenge Day 9: Yellow Hoiho — distribution of Hoiho / Yellow-Eyed Penguin in New Zealand waters. Data: MPI via NABIS.
By Hamish Campbell (@polemic)
#30DayMapChallenge Day 27: Resources Mining activity classification, Savoie Typologies des mines de Savoie
By Alice Caron (@Alice_Caron_) in France
#30DayMapChallenge Day 16: Places Oh, the places I've been (or seen) USA version! #gis #geography #geographyteacher #cartography #maps #map #travel
By MyPhysicalWorld (@my_physical) in USA
The UK's principal food+ drink import sources (incl #FoodMiles; imports by value; data from https://t.co/oR6vZbBQcd) using #ProportionalLines #FlowLines Created with @ArcGISOnline #30DayMapChallenge #LINES @tjukanov @GIS4Schools @geogologue https://t.co/p2SHHXA3JH
By BC (@mildthing99)
Mi participación en el primer día del #30DayMapChallenge, temática: puntos. Farolas (35099 puntos) en Las Palmas de Gran Canaria. Fuente: @hacienda_gobcan Gobierno de Canarias. Encuesta de Infraestructuras y Equipamientos Locales 2016.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 09 - Yellow La Corse - le soleil des Français ☀️🌞
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge day 11: elevation. (parts of) Luzon topography with colors of the Eye of Sauron. Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) processed using QGIS.
By BA Racoma (ᜊ) (@bumaBAgyo)
Country names to define the world for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy) in India
@Syracuse1848 @SyracuseU @OnondagaCounty #30DayMapChallenge Day 16: Place More with the roads dataset in @OnondagaCounty - all of the roads with the classification "Place" in the County Data: https://t.co/CEH7gzAPRD Code: https://t.co/6Ifx2n3Kz5 Tools: #RStats #OpenData #ggplot2
By Sam Edelstein (@samedelstein)
Managed to crank out Day 6's ("Blue") #30DayMapChallenge. I'm using the fairly broad categories to suggest the map did not have to be all "blue" and that "blue" can mean ☹️ Data: https://t.co/s2d98LLDv6 #rstats code https://t.co/o0yG9YbuDW and GL/BB/Srchut/GitUgh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 2: Lines Displacements of the large storms over the Amazon basin with genesis at 17 UTC (~13 LT) occurred in 2008.
By Amanda (@SalvatiRehbein)
Day 04 - Hexagons, life expectancy of Melbourne City trees. made in #rstats with h3 hex grid and h3jsr 📦 https://t.co/IsaR99geHq code: https://t.co/s4vlbqp3gF #30DayMapChallenge
By Adam Gruer (@AdamGruer)
For Day 7 of the #30DayMapChallenge the theme was Red. I looked at the incidents called in to fire stations around NZ during the week of Guy Fawke's 🔥This involved scraping the website, cleaning the data and doing a fuzzy merge w a geocoded list of firestations #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 28 : Funny - Autour du Joker : Structures et spécialistes en psychiatrie dans le Nord #Nord #RStats #OpenData https://t.co/6SgkqEQq0f
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge Dia 18 (Retrasado). Globo (Globe). Países del mundo coloreados en función de su consumo de alcohol en mayores de 15 años. Datos de https://t.co/qOKn0mkDcG. Enlace para que jueguen con la pelotita: https://t.co/qRdguS40nj #RStats #Shiny
By Juvenal (@JuvenalCamposF)
Day 27 of the #30DayMapChallenge : Resources…Global Major Mineral Deposits (aka some Natural Resources) from around the globe via @USGS #IMNOS
By Patrick Nelson (@pnelson917) in USA
#30DayMapChallenge Day 9: Yellow Urban Built-up Areas of Bangkok and Thailand 2000 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
Day 3 - Polygons #30DayMapChallenge Most frequently used Streetname suffix per district in Great Britain. Only 18 Districts do not have "Roads" as the most Frequent suffix. Street, Close, Drive and Lane are the only other Suffix with top frequency in a district.
By Abdishakur (@shakasom)
#30DayMapChallenge Day 19: Urban. Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo.
By Craig Williams (@williamscraigm)
Para nuestro #30DayMapChallenge de hoy, mapeamos las rutas de Uber que, saliendo del zócalo de CDMX, tienen mayor duración promedio. #lines
By Data Cívica (@datacivica) in Mexico
A snapshot of trees in my neighborhood from @openstreetmap for #30DayMapChallenge. Thanks to the efforts of the community, some of them, especially in Bangalore, carry detailed botanical information 🌿 You can access the dataset of 19K tree nodes here: https://t.co/9ogK66PQYr
By Ramya Ragupathy (@ramya_ragupathy) in India
Wasn’t there a #30DayMapChallenge, with Nov 1 being point maps? Anyway I am starting with points. This is an elevation map too 🍸😹 in case I don’t have anything on the 11th.
By Martini Cat (@The_Martini_Cat / Martinicat 🍸 😺) in USA
#30DayMapChallenge Day 2: Lines #Canada: English road types vs French road types Data: https://t.co/FiUFBj6MNL - Road Network File - 2010 Tool: QGIS CRS: NAD83 / Canada Atlas Lambert
By Emmanuel R (@Emmanue17939044)
Circular migration plot showing human movement in 2005-10 #science #30DayMapChallenge day 11: movement
By Dr Nikola Sander (@nikolasander)
#30DayMapChallenge Día 26. Hidrología. Cuencas exorreicas y endorreicas de Jalisco, en una cuenca endorreica sus aguas descargan a un cuerpo de agua interior, en las exorreicas los escurrimientos confluyen y desembocan en el mar o en un sistema lagunar costero, (INE, 2017)
By Instituto de Información Estadística y Geográfica del Estado de Jalisco (@IIEGJ / IIEG Jalisco) in Mexico
Day 5 (raster): Today just plain and simple a model result from the raster based model (SPHY) I'm working with, which makes use of the PCRaster framework (what's in the name). The map shows the simulated soil erosion in a subcatchment of the Segura River basin #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30daymapchallenge #Paraguay is split between the vast Chaco savannah and wet Atlantic forests to the south. This map uses a combination of #mapbox , #photoshop labels and some photos to highlight this little-known countries natural beauty.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 21: Environment. Many a photo by @signebrander reveals just how rocky @helsinki was not so long ago. There is still plenty of bedrock visible. The biggest one is ~31500 m2 on the Harakka Island, a busy artists colony. Code: https://t.co/81BSe7uPOc
By Tuija Sonkkila (@ttso) in Finland
For this #30DayMapChallenge I show the main watershed zones in Canada which are themselves divided into sub-zones. Made with #rstats. #dataviz #geography #watershed
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Day 28: Funny. At least I chuckled a bit myself at these funky city bike curves showing hourly departures in April 2019 from Aalto University & Kulosaari metro station respectively. Data via @HRInfoshare Source: https://t.co/2CKDhHVu14 #rstats #sf #gganimate
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Day 5: Raster* * Rasters aren't my strength, so I had to go back to my roots and use #ArcGIS. Metro Atlanta Land Cover using data from @USGS and @AtlantaRegional
By R.Richard (@rorich)
Day 3 (polygons): These maps show the typical greening up in a mountainous Mediterranean catchment, often the result of agricultural land abandonment #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
A l'arrache, les points d'arrêts du réseau de transport en commun sur Melun #30DayMapChallenge Big Up la #TeamLigneR et mon petit @L_Schmitz #GéographeQuiSeFaitChierUnSoirDeToussaint.
By Rom' Moyon (@RomMoyon)
#30DayMapChallenge Day 19: #Urban 🏙️ Urban areas of the world as #map of #CityLights deviated from MODIS data 🛰️ and provided by NaturalEarth 🌐 #ggplot #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
📍🗺️Para el 𝗱𝗶́𝗮 𝟲 de #30DayMapChallenge que corresponde al 𝐀𝐳𝐮𝐥 utilicé datos de educación de #TidyTuesday, el primo hermano de #datosdemieRcoles. Me inspiré en un mapa realizadó por @AmandaRPlunkett. #rstatsES
By 【𝑃𝑎𝑡𝑟𝑖𝑐𝑖𝑎 𝐿𝑜𝑡𝑜】 (@patriloto)
#30DayMapChallenge Day 26 FME is still trying to render the idea I had so let's save that for another day! Here's our canal network and the urban areas it links up
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
(posting late) Day 3 of #30DayMapChallenge -- POLYGONS Pretty results playing with clustering
By Sasha Trubetskoy (@sasha_trub)
Day 23’s map is looking at non-Irish populations across the country #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 10 (black & white): Density of streams in 100m grid
By Anto Aasa (@antoaasa)
@col_en_datos @qgis @CitiBikeNYC @VotoBici A bit behind schedule #Day7 #30DayMapChallenge: Red. Number of firearm seizure by department in 2017 in Colombia. Source, @PoliciaColombia (https://t.co/4vzOwLblJk)
By DoctorJ (@garciaart3)
#30DayMapChallenge | Day 19: Urban Proportion (%) of built-up areas per region in 1975 and 2010 in Europe.
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
Covering air traffic to and from India in the 2019 Apr-Jun Quarter for #30DayMapChallenge. UAE and Kerala cities seem to be the most popular route during this time period. Source @DGCAIndia
By Ramya Ragupathy (@ramya_ragupathy) in India
#30DayMapChallenge 27. Flows- Statistical Data of Imports in Quarter 1 of 2019 -info:https://t.co/86aWTPhUdf -data:https://t.co/uJcyhQcjqf -joined contributions by @EU_Eurostat E4 #GISCO Team - 3days2go - counting 3...2..1
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
So far behind, and a bit of a cheat for #30DayMapChallenge but Day 10 - elevation and the 3D printed route map of my Glen Lyon ultra made by my legs, Strava and the awesome guys at @3DPrintMyRoute
By Fiona Tweedie (@fjtweedie)
#30DayMapChallenge Day 8 - Green. Here we have every country in the world with the colour green appearing on its flag. Note the density in Africa. Let's see if I have missed any! Full image at: https://t.co/qBe9NQhCmq
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
Day 2 of #30DayMapChallenge: Lines. @cristinapoiata and I chose to show relative distances of various cities from Sydney 🇦🇺 using the Azimuthal Equidistant projection 🤓. #dataviz #cartography #geography
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge Day 5: Raster This fun little voxel generator uses an elevation raster to derive height and an aerial raster to colour the voxels accordingly. Cell size is tweaked halfway through. #map #animation #3d
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Dia 3: polígonos Desigualdad en Latinoamérica Siguiendo la pista de las visualizaciones de @Juanizio_C, propongo esta visualización sencilla sobre el índice de desigualdad en los países de Latinoamérica (color rojo más intenso = más desigualdad).
By Colombia en datos (@col_en_datos)
Fly over: Allotments of London @LondonNPC @WildintheCity1 @DanRavenEllison 3D #Scene @OrdnanceSurvey layer in @ArcGISOnline @GIS4Schools @geogologue #30DayMapChallenge #URBAN #UrbanGreening @tjukanov https://t.co/GPhM8RGmfW
By BC (@mildthing99)
Day 21 of the #30DayMapChallenge with the theme Environment. I looked at the maximum wind & rain across NZ over the past 40 years from reanalysis data. Reanalysis data is not an observation - it's a way of getting data for all points & time periods using observations and a model
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Dia 2: líneas Distancias relativas de ciudades colombianas en Norteamérica y Asia Coordenadas y distancias de algunas ciudades de Colombia trasladadas a otros lugares del mundo.
By Colombia en datos (@col_en_datos)
An apple a day! Foraging for the #urban cyclist: pickable fruit trees (endorsed by @CityofVancouver) along #bike routes For #day27 Resources of #30DayMapChallenge
By Caislin Firth (@CaislinF)
Day 5 of #30DayMapChallenge: raster. Horomaka | Banks Peninsula elevation from NASA Earthdata raster. Code: https://t.co/jZWBLteYuO #Rstats
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Map_08 Green Mapa de Espacios Naturales Protegidos. Mapa all Green, y propuesta @mitecogob Mi post @iagua. Reflexiones sobre la planificación territorial del regadío. https://t.co/BEXhYoSuOB
By Ignasi Servià (@iservia) in Spain
Day 7 (Red) of #30DayMapChallenge. Production de vin rouge par hectare de vignoble par département. Data from: @douane_france, shapefile from @datagouvfr 🍷🇫🇷
By Joaquin Beltran (@kimus_93)
Day 5 of #30DayMapChallenge – Rasters: Auckland Past and Present
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge 8 - GREEN "National parks in Mainland U.S. " @tableaupublic @tableau @Mapbox https://t.co/0NEpVjlqjt
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge day 25: Climate the average monthly temperature from ERA5 in northeast China, December 2016 A bit cold #rstats #lattice #spplot
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Día 19 #urban en el #30DayMapChallenge, número de días que la concentración de #ozono excede los 120 µg/m³, de la estadística 'urban audit' de la UE. Mapa del mundo y datos de @EU_Eurostat
By Pedro Suárez (@pedro_com_es)
Trying again to post a smaller gif file for Day 12 to twitter #30dayMapChallenge
By Kylie Wilson (@_kyliejane)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 27 (resources): Some Crops of Europe (just some code I had lying around, no idea of accuracy, actually) Original: https://t.co/5zSX1cSodD
By Maarten Lambrechts (@maartenzam)
Day 2 of #30DayMapChallenge - Lines Budapest's roads #ArcGIS #Tableau
By Kovács Ivett (@IvettAlexa)
Poniéndome al día con el #30DayMapChallenge os presento un Índice de Estrés Terrestre (Land Stress Index). Básicamente este indicador "considera la vegetación actual y máxima en cada pixel". Y sí, es parte de mi investigación en #ButerflyEffect #biodiversity #telecoupled
By Daniel Avila (@Daniel_AvOr)
💙 #30DayMapChallenge 6. Blue : How to better see that our planet is blue? ➡ The Spilhaus World Ocean Map in a Square https://t.co/qIpWy8nvBv #StoryMaps by @BojanSavric David Burrows, Melita Kennedy and the maps of @John_M_Nelson
By Raynald GARNIER (@raynald_garnier)
#30DayMapChallenge Day 30 Home. About #UnVioladorEnTuCamino... 821 rapes of women in Mexico City during 2019. Data source: 'Datos Abiertos, Ciudad de México, Víctimas en carpetas de investigación PGJ', INEGI, PHC2010.
By jlOlarteQ (@jlOlarteQ)
#30DayMapChallenge Raster. 3D model of the Indianapolis Motor Speedway made using LIDAR data.
By Peter Atwood (@Peterincan)
Day 12: Movement #30DayMapChallenge Isochrone map of maximum travel distance from my home town within 15 minutes. Data: Nationaal wegen bestand (NWB) & BRT achtergrondkaart (grijs)
By Leo (@hendrikxleo)
#30DayMapChallenge Day 3: Polygons - Philly Philly w/ @GrittyNHL Tools: @ArcGISPro #northisasocietalconstruct #gritty #phillyphilly
By Christopher Pollard (@CRVanPollard) in USA
#30DayMapChallenge 11. Elevation Overly exaggerated elevation of Belgium. #blender
By Karim Douïeb (@karim_douieb)
We’re taking part in the #30DayMapChallenge, not sure whether we can do every day but we’re going to try as many as we can. So to kick off the month here’s Mount St Helens in halftone. The topic was “points”, this may be a bit of a stretch… #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 7: RED (Sorry, Late...was under the weather yesterday) Landsat 8 image analysis of crop planting from previous year. Floods affected crop planting in 2019. #gis #geographyteacher #geography #map #maps #cartography #Landsat8
By MyPhysicalWorld (@my_physical) in USA
#30DayMapChallenge Day 22: Build Environment 🏨 Same idea as 'yellow' and another NYC #dataviz (!) but it looks cool! This viz shows the historic construction date of all current #newyork buildings. *Height exaggerated* Data via: https://t.co/RZtQXYe8BG #maps #3d #animation
By Craig Taylor (@CraigTaylorGIS)
I'll meet you on.... Perhaps Dublin's most confused street/road. #30DayMapChallenge #Day19 #Urban
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge 14. Boundaries Few weeks ago I had a conversation about borders and enclaves of 🇺🇿 🇰🇬 🇹🇯 I think it's an great illustration for the boundaries day more: https://t.co/XpNf9GP9mi #dataviz #maps #ggplot #rstats #borders #Kyrgyzstan #Uzbekistan #Tajikistan
By Olga Kononykhina (@bettermeasured)
Day 16 (places): The Mediteranean has always been one of my favorite holiday destinations. Therefore today the places I have visited in the Mediterranean, which includes cities (orange dots) and islands (red) #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 14 of #30DayMapChallenge - Boundaries The cadastral parcels of PETR Pays Ploërmel #edigeo #cadastre #urbanisme #paysploermel #QGIS @dgfip_officiel
By Ben (@benfriin)
#30DayMapChallenge Day 17 - Zones: Libraries! Isochrone map of 5 and 10 minute walking distances to DC public libraries.
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge 7-RED "Raging Ebola outbreak in D.R.C" Ebola is deadly ... and there is no end in sight donate for the efforts of WHO @tableaupublic @tableau @Mapbox @AdiBop_ https://t.co/6TwXp4TXmV
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Day 5: Raster. Estonian elevation map (DTM).
By Zlata Popelnuh (@popelnuhh)
Day 14 of the #30DayMapChallenge - #boundaries Image from #London 2016 of Lords Cricket Ground. Can you see the “boundary”?
By Geomni UK (@GeomniUK / GeomniUK) in United Kingdom
#30DayMapChallenge Day 22: Built environment Precariuous constructions in Montevideo showing spatial segregation towards the periphery | Segregación espacial en Montevideo vista a través de la precariedad de las construcciones. #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 4. DEnsity of Google places in Tartu, Estonia topic: 'hexagons'
By Anto Aasa (@antoaasa)
Este es el mapa que hace pocos meses nos rompía el corazón en #Canarias. El terrible #IFvalleseco con los datos de @CopernicusEMS. Para el #30DayMapChallenge : Zonas.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 20 - Urban I imagined the urban areas as the organs of an industrialised country connected by arterial trunk roads as veins. This is the closest I was able to get with my limited styling skills. Gunther von Hagens eat your heart out
By Dave Barter (@citizenfishy / Sweary Dave) in United Kingdom
A map of Forest Biomes for the #30DayMapChallenge. The theme is "Green" of course. Shout out to @World_Wildlife and https://t.co/hs9kt4H3pV for the map data. And I finally got to implement the #EqualEarth projection here! https://t.co/SnnHK9nKK0 #Map #Cartography
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 20 - Rural: This is eastern Montana, where I mapped out drive times to Dr. Joan Dickson, the only psychiatrist between Billings and Bismarck, according to @patriotact. Each contour is 30 minutes driving from her practice in Glendive, MT. (1/3)
By Tim St. Onge (@TimStOnge) in USA
#30DayMapChallenge Map_26 Mapa de conques hidrogràfiques principals de Catalunya. (2008). El post @iagua que comparto es Sintesis del proyecto Trivers. @aigua_cat https://t.co/f0QaMdbkG9
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge: Black & White - Bristol @EnvAgencyGeomat 1m dsm lidar data using #Aerialod @ephtracy
By Michael Legg (@mjlegg)
Have you ever been to the mighty #BudapestCanyons? or the #MountDeadSea? 🙃 #30DayMapChallenge Day 6: Blue (kind of..I guess?) 🔨 tool: @CesiumJS #Cesium #Terrain
By Dénes Csala (@csaladenes)
#30DayMapChallenge: Day 8 is green. Maximum temperature for 2050 in Colombia. The source of data is https://t.co/Fd1kkFoz1F #rstats #ggplot
By Gustavo Ahumada (@Gustav_Ahumada)
#30DayMapChallenge Day 4: Hexagons Map of outbound tourists from Estonia. #maps #dataviz #tourism #datascience
By Positium (@positium) in Estonia
#30DayMapChallenge Hand drawn raster, my personal daily landuse. #gischat
By Innisfree (@Innisfree)
Day 4 of the #30DayMapChallenge and I made a Crop Map of England (CROME). The vector dataset contains approximately 32 million hexagonal cells classifying England into over 20 crop types. Took a while to process and display the data at a national level! #GIS #ArcGIS #Hexagons
By The Spatial Data Manipulator (@GIS_Manipulator)
Day 4 of #30DayMapChallenge – Hexagons!!! Here’s honeybee occurrences in the U.S.
By ಠ_ಠ (@DeniseDSLu)
@f_l_o_u_r_i_s_h #30DayMapChallenge nr 6 (blue): hydrography of Flanders
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Jour 21: environment. Cartographie des vergers pédagogiques dans les écoles parisiennes #khartis et #Illustrator
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge with #rspatial 3/30. Polygons: Polygons in polygons... > Where is this Loire-atlantique department 🇫🇷 your see in the maps 🗺️ above? #rstats Inspired by my blog post on "Polygons tint band with leaflet and {sf}": https://t.co/PAHa6yba9l
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 11. Elevation Flint Hills ecoregion. 2m contours + aspect + dem. Easily the most gorgeous part of Kansas.
By Travis White (@visualvariable) in USA
Day 14: Boundaries #30DayMapChallenge Geological provinces in Australia. Data: https://t.co/Z0J2LKZCtv
By Leo (@hendrikxleo)
Fancy a Pint? Register of renewed liquor licences: Publican’s Houses Dublin #30DayMapChallenge #Day10 #BlackAndWhite @publinie @DiageoIreland
By Heikki Vesanto (@HeikkiVesanto) in Ireland
#30DayMapChallenge Day 18: Globe. The Big One, and the one in Stockholm a.k.a Ericsson Globe https://t.co/eonwt0uhLU. All the code of https://t.co/Ld3Jl9QPCI thanks to https://t.co/Luu2Ui5gN9 by @espinielli except for the tiny magenta dot. #ggplot #sf #rnaturalearth
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge (day 3. Polygons) Year of electrification in Belgium for 3 regions.
By Marcel Dekker (@marcel__dekker)
Día 15. Nombres. #30DayMapChallenge Bueno, y me preguntaron que qué pasaría si ampliamos el zoom no sólo a GDL, sino a la ZMG... Éste sería el resultado: Se mantiene lo de oriente poniente de la Calzada, con excepción de las zonas periféricas a Zapopan...
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
#30DayMapChallenge Day 2: Lines - 6* Months of Citrix Cycle Routes in Raleigh #gischat https://t.co/3RW1dRqF16 * Technically only 5 months. Gremlins got the June data.
By maptastik (@maptastik)
Went for an art-deco railway postcard theme for my line attempt for day 2 of #30DayMapChallenge. Not sure what to make of it, might be throwing in the towel for the challenge soon 😛
By David Ager (@TheAgermeister)
#30DayMapChallenge 26. Hydrology Topographic Wetness Index Vinsobres plateau (France) Made with #QGIS
By Romain Lx (@lacxrx)
« Boundaries » (pour « limites », « frontières ») au programme du 14e jour du #30DayMapChallenge ; allons-y avec une carte polaire des pays nordiques, leur zone économique exclusive (ZEE 🔵) et les gisements d'hydrocarbures supposés (🔴).
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge Day 10 #Black 💸💰🤑 Estimated Gross Domestic Product Per Capita Source @WorldBank #NaturalEarth Using: @qgis #gischat #Economy #Geograpy
By Diego Pajarito G. (@diegopajarito)
Day two of the #30DayMapChallenge (lines)... Here's an animation of the 2020 #MLB schedule
By Daren Willman (@darenw)
#30DayMapChallenge 8. Green The visibility of chlorophyll is thought to be accentuated with the Triangular Greenness Index. Plankton within Hood Canal has a stronger signal than local terrestrial plants, but there is enough overlap to make visualization challenging.
By John O'Leary (@OLjohnel)
I’m bringing out my inner physical geographer for today’s #30DayMapChallenge (Day 7: Red) - Iceland’s many volcanoes!
By Antonia Blankenberg (@blanky343)
#30daymapchallenge 15 - names Buildings in London with some form of royal connection in the name. done in #alteryx and #tableau. sneaky #mapbox in there too. not bored of this map style yet... 1 trick 🐴... https://t.co/StgO3aYzlD
By A. D. Mac (@AdiBop_) in United Kingdom
#30DayMapChallenge 27. Resources Available water storage capacity Made with #QGIS
By Romain Lx (@lacxrx)
¿El tránsito de camiones por las rutas nacionales será un buen proxy de la actividad económica de un país? (Si lo fuera, tomaría nota...) #4FA #DebatePresidencial2019 *** #rstats #rstatsES #datosdemiercoles #30DayMapChallenge day 13 - Tracks R Code: https://t.co/X99L1CNpKy
By Daniela de los Santos (@danidlsa)
Little bit late for starting #30DayMapChallenge. It begins for me at day 4 with hexagons valuated by amount of seats at restaurants in Moscow.
By Александр Зуев (@Zuev34W)
Day 6 of the #30DayMapChallenge. I made a river map of England using #Python and @geopandas. Darker blue indicates longer river stretches and lighter blue indicates shorter river stretches as mapped by the #WFD. Not bad for a first attempt at using python to visualise GIS data!
By The Spatial Data Manipulator (@GIS_Manipulator)
Health centers' distribution spatial in Peru #30DayMapChallenge #QGIS #Geographer #Pointstyles
By Antony.Barja (@AntonyBarja1)
Day 23:: Population Land area is a poor basis for choropleth mapping of population. Here are population weighted cartograms compared with conventional choropleths for US presidential elections since 1972. Workings & data: https://t.co/QdaJIo6uCB #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge day 4: Hexagons. Total number of road deer collisions in Scotland (2000 - 2017). Data is from SNH.
By Zlata Popelnuh (@popelnuhh)
Day 9 (yellow): Soil erosion is also projected to increase, mainly caused by an increase in extreme precipitation. We conclude that climate change will negatively impact water security in the Segura catchment and most likely other Mediterranean catchments #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 #Day12 #30DayMapChallenge: Movemet. 40 minutes of @CitiBikeNYC's rentals on june the 1st 2019, right after midnight. Ol' blue eyes was right: NYC is the city that never sleeps. cc @WMVallejo
By DoctorJ (@garciaart3)
@qgis Avec ces mêmes données, le #30DayMapChallenge Day 19 - Urban Date of construction of buildings in #Paris
By Gaëlle (@Gaelle_Sutton)
Super dataset on river #hydrology in the #Arctic Too late for #30DayMapChallenge? #AESM19
By Ruth Mottram (@ruth_mottram)
#30DayMapChallenge Day 15 Names - name origin of prefectures in Japan (wiki: https://t.co/G8X6PxZJwu) - was hard to put all texts in one page, so decided to pick out keyword using #tidytext, and place it on the map . #rstats code: https://t.co/jVVpUOaRoE
By Chisato (@chisatini)
Day 8 (green): Climate change will cause an increase in plant water stress, which is the combined effect of longer dry periods and an increase in temperature #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 6 Blue - Exploring #Bathymetry data for North West Europe from @EMODnet. For most of the North Sea, the depth of water is less than 100 metres. This includes the sunken landmass of Doggerland. 🌊🌊 #30DayMapChallenge #OceanWeek
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Day 9 -Yellow. Cropland in Sardinia. Source @openras Made with #rstats sf + ggplot2
By Andria Tzedda (@Andria_Tzedda)
Day 25 of #30DayMapChallenge – Climate. Here’s effects of climate change on rice yields across the globe.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge 8. Green 💚 I tried to map green areas of Malabo🇬🇶and then Gabon🇬🇦but OpenStreetMap data quality was bad. Instead, please check GoogleTrends of houseplant🌱🌿 searches around the globe🌍 #dataviz #data #maps #ggplot #rstats #GIS #houseplants #crazyplantlady
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 5 #Raster Submarine internet cables 🙈 #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 10 B&W - using #QGIS, #OSM. Prison stripe colours? Irish prison data! 🧐 Co-location makes some of the labels a bit confused. Sidenote - OSM data for Midlands Prison is VERY detailed, what's the story? Is someone using OA maps to plan jailbreak?
By Maedhbh Nic Lochlainn (@niclochg)
Throwback tweepsmap: Historical map of our followers from May 2013 Day 9 of #30DayMapChallenge: Yellow
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Carreteras con administración federal en #México, con información de la Red Nacional de Caminos de #INEGI elaborado en #QGIS #maps .
By marko gutierrez (@GutierrezyMarco)
#30DayMapChallenge day 5. Wanted to experiment with giving my local USGS topo a little more depth. Combo of 1924 topo and 1m DEM. #gischat
By Kyle W. Smith (@kwsSanDiego)
Day 21 of #30DayMapChallenge - environment: New Zealand's four largest river networks (largest in the sense of having the most branches), including associated lakes. Code: https://t.co/g1yqXhkBn2
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 15 - Names. We thought we’d look at our own name (and namesakes) in the UK. All the places and businesses in the UK with #Emu in their name https://t.co/ZuXpzVruiv #GIS #DataVisualization #maps
By Emu Analytics (@emu_info)
Sometimes your day doesn't go as planned... Late contribution to #30DayMapChallenge Day 16: Places Extreme places on earth with regard to temperature 🥵🥶 and elevation 🏔️ per continent and depths per ocean 🌊 🔗https://t.co/p8QHXpnUbM #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
@prefet59 @Place_Beauvau #30DayMapChallenge Day 30 : Home - Charleville-Mézières, avec les données #OpenStreetMap #QGIS #OpenData
By Cécile Rodrigues (@Grisoudre) in France
Direct flight destinations from Oslo Airport Gardermoen #30DayMapChallenge Day 2: Lines. Data: Avinor
By Jon Olav H. Eikenes (@jonolave)
Fragment of the Ros river basin. #30DayMapChallenge Day 29: Experimental Data: Alaska Satellite Facility, #OpenStreetMap contributors
By Fedir Gontsa (@gontsa / gontsa) in Ukraine
#30DayMapChallenge Day 6 - Blue #Bathymetry #map from Natural Earth data, nested polygons for depths to 10000m. Each layer is the same color, but blending mode (multiply) creates depth. I also made a point to use #EqualEarthProjection. Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo) in USA
Day 24 of #30DayMapChallenge - climate Interpolations des températures dans la région bordelaise. #qgis #interpolation #terroir
By Ben (@benfriin)
#30DayMapChallenge DAY 18. Zones -Exclusive Economic Zones, edged matched to Eurostat country boundaries avaiable https://t.co/UQcQVC248L -Disputed areas not shown @tjukanov had a similar idea -data https://t.co/eKUNEGoa2Q - joined contrib by @EU_Eurostat E4 - 12days2go- #GISCO
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
#30DayMapChallenge nr 1, "Points" als thema. Welke rijksmonumenten liggen binnen 1 km van mijn meest gebruikte Strava-start-/eindpunten?
By Bart Broex (@bbroex) in Netherlands
#30DayMapChallenge Blue. Something quirky today - a blueprint style street network of Mumbai. #maps #map #cartography #india #mumbai #bombay #indianmaps #indianculture
By indiaviz (@indiaviz)
#30DayMapChallenge Day 4: Hexagons.
By Surface Libre (@surfacelibre)
#30DayMapChallenge 3 - polygons (again cos i did hex yday 🤪) 100m grids derived from London LSOAs, intersected with crime data. Processed in #alteryx and visualised in #Tableau getting into unresponsive territory with tableau... https://t.co/MsfPPE914e
By A. D. Mac (@AdiBop_) in United Kingdom
Día azul en el #30DayMapChallenge. Canarias no tiene ríos, tiene barrancos, y estos dibujan una geografía única. Fuentes: línea de costa del IHM (Instituto Hidrogrófico de la Marina), curvas de nivel e hidrografía del @IGNSpain (Instituto Geográfico Nacional). @canarias_es
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Hexagons. Wasn't planning to do map today, because, well, work. But needed a break, and have wanted to learn to do hex bins. So my first ever hex bin map is single family housing in San Diego, CA.
By Barbara Kent (@SDGeoGirl)
Day 17 of #30DayMapChallenge - zones: All the zones, overlays, precincts etc defined in Auckland's Unitary Plan (urban planning rules). Each layer is black with 10% opacity, so darker areas have more planning rules. Code: https://t.co/grzlRKDBIo
By Aaron Schiff (@aschiff)
Day 5 of #30DayMapChallenge - raster - Fausse couleur Déglaciation 2000/2016 - baie d'Ungavia - Québéc Image modis
By Ben (@benfriin)
Day 12: Movement Crash course on animation in #ArcGISPro for me today! Been meaning to do that for some time now, yet another benefit of participating in the #30DayMapChallenge !
By Allison Cully (@AllisonCully) in Canada
Day 29: Experimental #30DayMapChallenge The land of the rising sun 🗾 Data: ALOS Global Digital Surface Model, GEBCO Gridded Bathymetry Data
By Leo (@hendrikxleo)
Day 1 #30DayMapChallenge Many US city names are not unique and in fact duplicate those from the countries of out-migration (?). I used maps::world.cities Gazetteer #rstats dataset to identify those duplicate cities ⌨️ https://t.co/ckgcMnxOL8 tnx @hrbrmstr for 🎨 🗺️ 📦
By Ilya Kashnitsky (@ikashnitsky)
(le coloriage c'est toujours pas ça 🙈) Jour 21 - Environnement - #30DayMapChallenge La gestion durable d'un milieu littoral : le golfe du #Morbihan.
By Aurélien (@pivaurelien)
#30daymapchallenge 2. Lignes Pour moi la carte est toute choisie. Ma mission actuelle est la mise en place d'un système de gestion du patrimoine voirie pour la ville d'Avignon, alors je vous montre une trace GPS de mes récoltes d'images 360 (en + quelques images 360) #mapillary
By Granié Alexandre (@Alex_geomatic)
Casi que no!, late late #30DayMapChallenge Day 3-Polygons... Algo muy sencillo: "localidades de Bogotá", ciudad donde alguna vez viví... Les comparto código en #R #rstatsEs #DatosDeMiércoles #mapadeBogotá #visualizaciondedatos #colomviza
By Edwin Mendivil Barceló (@vizualdatos)
#30DayMapChallenge 29. Experimental - Splitting country features in PostGIS to speed up ST_Intersects ~ 12ms consistently for the ID services from GISCO for LAU, NUTS+countries. Could we get it even faster ? Contributions by @EU_Eurostat E4 #GISCO Team - 1day2go
By Hannes Reuter (@hireuter / hannes reuter) in Luxembourg
#30DayMapChallenge Day 15 - Names Names of #missings persons in the #US (first name) Noms des personnes disparues aux États-Unis (prénom) data from @Opendatasoft
By Gaëlle (@Gaelle_Sutton)
Day 13 of #30DayMapChallenge: tracks Request: Kiddo asked me for literal tracks in Paris: railway (blue), metro (yellow) and light rail (pink). I added a 1980s vibe with neon colours and Still Time font. @openstreetmap data + #Rstats
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge 27: resursi. Kūdra ir labs resurss, jo ieguve smuki izskatās aeroattēlos. Latvijas kūdras resursi lēsti tik daudz, ka cipari lauž smadzenes - tās ir 1000 pasaulē lielākās ēkas (Boeing fabrika) vai vagoni 70 reizes apkārt pasaulei.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
Les actes de vente des biens fonciers #DGFIP ont fait l'objet d'une #DataViz et analyse #spatiotemporelle lors du #SIG2019 ! Retrouvez les pour le #30DayMapChallenge #day4 #hexagones #ArcGIS #ArcGISPro Vidéo bientôt dispo sur @YouTube @Esri_France
By Nkhili Asma (@NkhiliA)
Spotted a world map within our world 😱- an archipelago with countries as islets in Persian Gulf #30DayMapChallenge More reading: https://t.co/UqFYPx7oxK
By Ramya Ragupathy (@ramya_ragupathy) in India
#30DayMapChallenge 11/30 Elevation. The Dutch Mountains. Made by @BNiene - Made with @qgis
By cartiqo (@cartiqomaps)
For this #30DayMapChallenge #⃣2⃣9⃣ (Experimental), I visualize the locations where the @CanadiensMTL will play. @RDSca Made with #rstats.
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge day 10: B&W (better late than never 😉). @cristinapoiata and I went with a simple map of US states, made in the browser using https://t.co/M7UnCVFl1z and https://t.co/tBSKlhzG4L. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge: Day 8 is green Just updated my SNAP retailer database--here's the top U.S. metros when counting dollar stores per capita.
By Jerry Shannon (@jerry_shannon) in USA
Day 29 of the #30DayMapChallenge with the theme Experimental! I took this as permission to improve one of my previous maps 😆 Here we've got the max summer temperature in Australia, going back to 1910. We can also see new weather stations being added over time #rspatial #rstats
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 25 #Climate ❄️ Peligro por temperaturas mínimas en la CDMX #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge 20. Rural - Central Prince Edward Island, Canada 🇨🇦 This map is basically just imagery, but I love rural countryside land patterns and I found this particular section of PEI incredibly intricate and beautiful.
By Shannon Gonzales (@yavannie24)
Day 20: Rural My home province of Alberta with #ArcGISPro and #Photoshop on a photo of my actual notebook (complete with the coffee stain that rendered it dead to me) #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
Thanks to @tjukanov, got my hands on #MapboxGLJS for the first time for #30DayMapChallenge day 4: hexagons. I was also inspired by @puddingviz's project. #BuiltWithMapbox @Mapbox Population data from several sources, mixed and fine tuned by me. https://t.co/j3sgtcFYEH
By City's Backyard (@citysbackyard)
#30DayMapChallenge Cuartil 1 de municipios de la tasa de mortalidad acumulada por Diabetes Mellitus Tipo 2 en el período 2010-2015. (Hombres y mujeres de 45 años y más) @SantaellaJulio
By Oscar Juarez (@OJuarezFlores)
#30DayMapChallenge 30. Home Last map with our ampelographic collection, for the preservation of rare regional grapevine varieties. Congratulations and many thanks to all #30DayMapChallenge folks !
By Romain Lx (@lacxrx)
@Tutuchan @OSM_FR @opendatasoft_fr #30DayMapChallenge with #rspatial 10/30. Black and White. "A black 🏴day when you have to pay your taxes, a white 🏳️ day knowing you are among the one who can pay them..." Distribution of tax offices in Metropolitan France 💸 with images on {tmap}. #rstatsFR
By Sébastien Rochette (@StatnMap)
Not one of my cheeriest maps to start off the #30DayMapChallenge 1. Points Each point is a gun homicide incident in USA (2015) Data from @GunDeaths Interactive animated map created using @Carto Use Visible layers top right of map to toggle layers https://t.co/FF8SALfU72
By Dan Cookson (@danc00ks0n)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 18 (globe): How each of the 357 European airports is connected by commercial passenger flights https://t.co/pReqc0hVKP
By Maarten Lambrechts (@maartenzam)
Nuestro mapa del #30DayMapChallenge de hoy nos tomó un minuto gracias a nuestra plataforma "Explora la violencia" ¿Ustedes ya la conocen? 🤓 https://t.co/My380ai4Xd
By Data Cívica (@datacivica) in Mexico
Day 23 of #30DayMapChallenge - Population Répartition de la population en France #insee #pop #france @InseeFr #OpenData
By Ben (@benfriin)
Day 10 black & white #30dayMapChallenge Playing with symbols trying to get hachure kinda things in qgis. Not very good but catching up. Could have spent days in Illustrator tidying that up & making it look hand made :)
By Kylie Wilson (@_kyliejane)
@Syracuse1848 @SyracuseU @OnondagaCounty #30DayMapChallenge Day 17: Zones American Community Survey Poverty Rates overlayed with Opportunity Zone Census Tracts (borders in green) in @Syracuse1848 Tools: #AGOL #ArcGIS
By Sam Edelstein (@samedelstein)
#30DayMapChallenge #Map_18 Globe @IPCC_CH Intergovernmental Panel on Climate Change #IPCC https://t.co/oYVETEYiSg
By Ignasi Servià (@iservia) in Spain
#30DayMapChallenge 12. Movement In 🇳🇱, almost 3,000 persons were recorded walking the highway since 2014: from people with car troubles to lost tourists. On this map - which isn't moving but is about movement - you'll find the hotspots. Interactive 👉🏻https://t.co/JNrHoPUhiT
By LocalFocus (@LocalFocusNL) in Netherlands
Bus and metro traffic lines from GPS points in Lauttasaari, Helsinki. Each line is a single journey. Created with #PostGIS and #QGIS #30DayMapChallenge Day 2. Lines.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 2: lines. I have classified Edinburgh roads into 2 types: roads and roads with pubs (according to OSM).
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge 28: smieklīgi. Gribēju kartēt savu humora izjūtu, bet uz tukšu, melnu kvadrātu ir autortiesības citiem, tāpēc atgādināšu vienu no dīvainākajiem vietvārdiem - Zelta Dibens Saunas pagastā.
By Zane Atstāja (@atdodkonfektes / Zane) in Latvia
#30DayMapChallenge 26: Hydrology A simple side-by-side map of Philadelphia's streams, historic and current. So much of the city has been paved over, most streams are underground now. I added hillshade for visual effect. Data from @opendataphilly and @USGS
By Philip Pierdomenico (@PhilPierdo) in USA
#30DayMapChallenge Day 6: Blue Electric Blue – transmission lines supported by pylons. Data: LINZ (https://t.co/peyVJ0VtAO)
By Hamish Campbell (@polemic)
Bathymetry in Liguria (IT) Late entry for Day 6: Blue - Data source: #Geoportal @RegLiguria, @istat_it, basemap @openstreetmap - Map done with @qgis #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
#30DayMapChallenge Day 23. Population Women outnumber men in the EU (262m 👩🏻 versus 251m 👨🏻), but which regions stand out if we look at the male-female-ratio? (Psst..This map might be quite handy if you're single 😉) Interactive version 👉🏻 https://t.co/qxuEqAzkKz
By LocalFocus (@LocalFocusNL) in Netherlands
Day21 #environment #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge : au programme de ce jour 4, j'ai « hexagones ». Par conséquent, voilà une carte de la concentration des clubs de rugby amateurs et professionnels en France métropolitaine – pour une fois ce n’est pas élevé simplement là où y a beaucoup d’habitants.
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge 19 - urban grid density streetlights in greater manchester. processed in #alteryx, viz in #tableau. really the shapefile is too big for tableau - unresponsive, too heavy to interact with, laggy. anyhow - https://t.co/4lVHLaGdme
By A. D. Mac (@AdiBop_) in United Kingdom
#30DayMapChallenge Day 23 : Population - Population de 75 ans et plus dans le nord #Nord #RStats #OpenData tps://github.com/Grisoudre/30DayMapChallenge/edit/master/day23_population
By Cécile Rodrigues (@Grisoudre) in France
Day 6 of #30DayMapChallenge: blue. Percentage of blue vehicles in each New Zealand Territorial Local Authority. It appears to increase going South. data.table was great for reading and processing the 1.2GB csv file, with 5M vehicles. #rstats Code: https://t.co/KgPJgOI3Ns
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 7: Red The other side of the Energy poverty: thermal amplitude in Santiago / Amplitud térmica en Santiago Difference between the max and min annual T° (c) in the environment Data from Indice Bienestar Territorial de la UAI
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge 7/30 Red. Fifty shades of red. 🎶Vandaag is rooooood 🎶 @borsato Made by @BNiene - Made with @Mapbox #MapboxGLjs #creativecarto
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 26: Hydrology. Letchworth State Park and the Genesee River. Audaciously nicknamed "The Grand Canyon of the East," its beautiful deep gorge and waterfalls make it a favorite state park.
By Craig Williams (@williamscraigm)
#30DayMapChallenge day 15.Names. Place names in GB whose names end in '-ton', '-tun' or '-town'. Toponymy using #qgis and OS Open ZoomStack.
By Steven Kay (@stevefaeembra)
Day 17: Zones I often get sucked into a very academic mindset which really kills my creativity and get quite stuck when an idea lacks purpose. So here is my most impractical map ever, Berghaus Star projection of the world’s time zones in mixed media PS brushes #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge 🗺️ Day 7: red 🔴 The topography of Mars - Tharsis region Data source: MOLA Tools: #rstats #rspatial #ggplot2 📈 #Mars #terrain #map #planet
By Mirza Cengic (@mirzacengic)
Day 10, #30DayMapChallenge - Black and White Halfway through nightfall on shortest and longest nights. At a meta level it is a map showing the effects of the Earth's axial wobble. My big challenge was thinking of anything binary enough to be B&W Code https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge 23. Population Women's cities and men's countryside, the sex ratio in France Made with #QGIS
By Romain Lx (@lacxrx)
Road traffic accidents in Mainland Finland 2005-2017 by speed limit. The darker the colour the higher the speed limit #30DayMapChallenge Data from @vaylafi https://t.co/SDQcua9w54
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge 6 | 7 Red | Blue Travel time to a city in red and to a port in blue; first nature means that they are rather similar (from @Dr_Andy_Nelson et al with methods specified in @ScientificData https://t.co/3fSumx3yGG)
By Andrew Renninger (@AndrewRenninger)
Missed two days due to work commitments but it's weekend now so here is the contribution for today's #30DayMapChallenge - Day 23: Population ➡️ Mapping changes in annual rates of population growth by country. #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
#30daymapchallenge day #11 (Elevation). Made with #rstats.
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Day 6 : Blue - Accidents de la route impliquant des piéton·ne·s (y.c. en roller ou trottinette) et cyclistes constatés par la police dans la MEL #RStats #Lille #MEL #OpenData https://t.co/ZCFCl5vBfE
By Cécile Rodrigues (@Grisoudre) in France
#30DayMapChallenge Day 20: Rural Even though #Berlin is a metropole, it has many rural areas with regard to land use types. This map shows all non-build areas such as forest, grass- and scrubland, meadows and nature reserves in the middle of the city. #ggplot #rstats #dataviz
By Cédric Scherer (@CedScherer) in Germany
Just Contours and roads in and around Griffith Park 2. Lines #30DayMapChallenge
By Omar Ureta (@theworksla)
Here's a boundary lost to history — the line drawn by The Treaty of Limits between the U.S. and The First Mexican Republic. #30DayMapChallenge Day 14. #Cartography #History
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 12: Movement gif showing the #dig deep #peaktrail50 2018 race I did last year #qgis #timemanger #ultramarathon
By Kirsten Reilly (@_penguin_runner) in United Kingdom
3. Polygons Map showing the Sedimentary Basins of the Philippines. These sedimentary basins are potential source of petroleum and natural gas. There are 16 sedimentary basins discovered. #30DayMapChallenge #SedimentaryBasins #PH #Geology #gis #carthography #geography #dataviz
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
Happy #GISDay (@gisday)! I’m half Danish, so I’m celebrating with a map of #Denmark for day 13 of the #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
Day 15 of #30DayMapChallenge 🗺️ Topic: "Names" Streets bearing names in the city I grew up in🇷🇴 Names of men ♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️ And names of women ♀️.
By Arnold Platon (@Arnold_Platon)
Day 5 of the #30DayMapChallenge : Raster…Looking at #NASAsedac data for global crop lands…and thinking of the opportunities for #IoT in agriculture. #IMNOS
By Patrick Nelson (@pnelson917) in USA
